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111 Software Engineering Essay Topic Ideas & Examples

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Software engineering is a rapidly growing field that plays a crucial role in the development of technology. As a software engineer, you are constantly challenged to come up with innovative solutions to complex problems. Writing essays on software engineering topics can help you deepen your understanding of key concepts and stay up to date on the latest trends in the industry.

To help you get started, here are 111 software engineering essay topic ideas and examples:

The impact of artificial intelligence on software engineering
The role of ethics in software development
Best practices for software testing
The importance of cybersecurity in software engineering
Agile vs. waterfall software development methodologies
The future of DevOps in software engineering
The benefits of open-source software development
The role of data analytics in software engineering
The challenges of software maintenance and support
The impact of cloud computing on software engineering
The role of machine learning in software development
The importance of code quality in software engineering
The benefits of continuous integration and continuous deployment
The role of user experience design in software development
The challenges of scaling software applications
The impact of microservices architecture on software engineering
The role of software architecture in system design
The benefits of code reviews in software development
The importance of documentation in software engineering
The challenges of software project management
The role of software engineering in the Internet of Things
The impact of virtual reality on software development
The benefits of test-driven development
The challenges of software performance optimization
The role of software engineering in the healthcare industry
The impact of mobile computing on software development
The benefits of using containers in software deployment
The challenges of software security in the age of data breaches
The role of software engineering in autonomous vehicles
The importance of software quality assurance
The impact of blockchain technology on software development
The benefits of using design patterns in software engineering
The challenges of software localization and internationalization
The role of software engineering in financial services
The impact of quantum computing on software development
The benefits of continuous learning in software engineering
The challenges of legacy system migration
The role of software engineering in e-commerce
The importance of software licensing and intellectual property
The impact of software engineering on sustainability
The benefits of using agile methodologies in software development
The challenges of software vendor lock-in
The role of software engineering in social networking platforms
The importance of software performance monitoring
The impact of artificial intelligence on software testing
The benefits of using version control systems in software development
The challenges of software configuration management
The role of software engineering in the gaming industry
The importance of software metrics and measurement
The impact of software engineering on smart cities
The benefits of using continuous deployment in software development
The challenges of software interoperability and integration
The role of software engineering in digital transformation
The importance of software engineering in disaster recovery
The impact of chatbots on software development
The benefits of using software frameworks in development
The challenges of software performance tuning
The role of software engineering in the education sector
The importance of software versioning and release management
The impact of software engineering on the entertainment industry
The benefits of using software design patterns in development
The challenges of software usability and accessibility
The role of software engineering in smart home technology
The importance of software security auditing
The impact of software engineering on the automotive industry
The benefits of using continuous integration in software development
The challenges of software change management
The role of software engineering in the travel and hospitality sector
The importance of software reliability and fault tolerance
The impact of software engineering on the retail industry
The benefits of using software modeling and simulation
The challenges of software project estimation and planning
The role of software engineering in the aerospace industry
The importance of software performance profiling
The impact of software engineering on the energy sector
The benefits of using software refactoring in development
The challenges of software deployment automation
The role of software engineering in the telecommunications industry
The importance of software scalability and elasticity
The impact of software engineering on the manufacturing sector
The benefits of using software prototyping in development
The challenges of software requirements engineering
The role of software engineering in the defense industry
The importance of software fault injection testing
The impact of software engineering on the agricultural sector
The benefits of using software code analysis tools in development
The challenges of software migration and modernization
The role of software engineering in the transportation industry
The importance of software performance tuning
The impact of software engineering on the healthcare industry
The benefits of using software development environments in development
The challenges of software quality assurance and testing

These are just a few of the many software engineering topics that you can explore in your essays. Whether you are a student looking to deepen your understanding of software engineering concepts or a professional seeking to stay up to date on industry trends, writing essays on these topics can help you sharpen your skills and knowledge in the field. Happy writing!

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49 Software Engineering Essay Topic Ideas & Examples

🏆 best software engineering topic ideas & essay examples, 👍 simple & easy software engineering essay titles, 📌 interesting topics to write about software engineering.

Facing Ethical Issues as a Software Engineer Applying the Kantian theory of ethics the software engineer will have to inform the stakeholders including the investors of the company and the clients that there will be a delay in the launching of the […]
The Software Engineering Debate The second reason the author adduces to his view that software development is not an engineering activity is the lack of standardized approaches to software development.
Software Engineering Online Learning Center However, it is not easy to tell what the website is promoting just by the look of the homepage and thus, visitors with less time might not be interested to click to the sub-sections and […]
Computer-Aided Software Engineering Tools Usage The inclusion of these tools will ensure that the time cycle is reduced and, at the same time, enhances the quality of the system.
Software Engineering: Data Modelling and Design It may be physical e.g.a toy car representing a real car or it can be conceptual, only represented on paper to bring a good description of the operation of the real object.”A data model is […]
Software Engineering: Running Android on the Altera Board 1 software, quartus was installed on Linux and instantiated on the NIOS processor with the IDE and Quartus tool ported to the software port to run on the FPGA hardware board.
Systems and Software Engineering Processes Trends These challenges should be addressed by the management and the organizational large before the adoption of the external technology to avoid problems that may arise as a result. Another challenge is the skills that need […]
Majoring in Software Engineering One of common types of motivation is promotion and software developers are likely to see the opportunities they have in this or that company.
Dual Application Model for Agile Software Engineering
MITS5002 Software Engineering Methodology for Cloud Computing
Quality Assurance Through Software Engineering
Software Development Methodologies for Software Engineering
Information Systems and the Area of Software Engineering Analysis
Software Engineering Spiral Model and Combining Paradigm
Software Engineering Ambiguities and Omission Computer Science
The Fundamental Software Engineering Activities
Key Principles and Problems of Software Engineering
Engineering Models and Software Engineering Life Cycle Models
Problems Associated With Privacy in Software Engineering
The Past, Present, and Future of Standards in Software Engineering
Getting Started With Software Engineering: Beginner Tips
Comparison Between Five Process Models of Software Engineering
The Distinction Between Computer Science and Software Engineering
Software Engineering: Scrum and Plan-Based Approaches
Game Development Software Engineering Process and Surviving in Tough Situations
Software Engineering: What Makes It Run?
Factors and Issues That Influence the Behaviour of Software Engineering Groups
Software Engineering Productivity: Concepts, Issues, and Challenges
Failure Prevention and Development Problems Associated With Software Engineering
The Reflective Practitioner Perspective in Software Engineering
Learning Software Engineering With Global Teams
Object-Oriented Programming, Software Engineering, and Enterprise Applications
Learning From Achievement: Scaffolding Student Projects in Software Engineering
Towards Understanding the Relation Between Citations and Research Quality in Software Engineering Studies
Artificial Intelligence Applications for Improved Software Engineering Development
Computer Science and Software Engineering: How It Impact Law?
The Capability Maturity Model: Quality in Software Engineering
Combining Software Engineering Elicitation Technique With the Knowledge Management Lifecycle
The Boehm-Waterfall Software Engineering Methodology Analysis
Software Engineering and System Engineering: Functional and Non-functional Requirements
Methodology: Software Engineering and Requirements Gathering
What Are the Advantages and Disadvantages of Agile Software Engineering?
Software Engineering and Inventions of the 20th Century
The Pros and Cons of Object-Oriented Software Engineering
The Reasons for the Difficulty of Fulfilling Requests for Successful Fill-In-The-Blanks Software Engineering Technology
The Use of Process Improvement Models in the Software Engineering Industry
Open Source Software Engineering Theory Intelligent Educational Tool and Research Methodology
Theoretical and Empirical Studies on Essence-Based Adaptive Software Engineering
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What are Software Engineer Research Topics?

Software engineer research topics are areas of exploration and study in the rapidly evolving field of software engineering. These research topics include various software development approaches, quality of software, testing of software, maintenance of software, security measures for software, machine learning models in software engineering, DevOps, and architecture of software. Each of these software engineer research topics has distinct problems and opportunities for software engineers to investigate and make major contributions to the field. In short, research topics for software engineering provide possibilities for software engineers to investigate new technologies, approaches, and strategies for developing and managing complex software systems.

For example, research on agile software development could identify the benefits and drawbacks of using agile methodology, as well as develop new techniques for effectively implementing agile practices. Software testing research may explore new testing procedures and tools, as well as assess the efficacy of existing ones. Software quality research may investigate the elements that influence software quality and develop approaches for enhancing software system quality and minimizing the faults and errors. Software metrics are quantitative measures that are used to assess the quality, maintainability, and performance of software.

The research papers on software engineering topics in this specific area could identify novel measures for evaluating software systems or techniques for using metrics to improve the quality of software. The practice of integrating code changes into a common repository and pushing code changes to production in small, periodic batches is known as continuous integration and deployment (CI/CD). This research could investigate the best practices for establishing CI/CD or developing tools and approaches for automating the entire CI/CD process.

List of Software Engineer Research Topics in 2024

Here is a list of Software Engineer research topics:

Artificial Intelligence and Software Engineering
Natural Language Processing
Applications of Data Mining in Software Engineering
Data Modeling
Verification and Validation
Software Project Management
Software Quality
Software Models

1. Artificial Intelligence and Software Engineering

a. Intersections between AI and SE

The creation of AI-powered software engineering tools is one potential research area at the intersection of artificial intelligence (AI) and software engineering. These technologies use AI techniques that include machine learning, natural language processing, and computer vision to help software engineers with a variety of tasks throughout the software development lifecycle. An AI-powered code review tool, for example, may automatically discover potential flaws or security vulnerabilities in code, saving developers a lot of time and lowering the chance of human error. Similarly, an AI-powered testing tool might build test cases and analyze test results automatically to discover areas for improvement.

Furthermore, AI-powered project management tools may aid in the planning and scheduling of projects, resource allocation, and risk management in the project. AI can also be utilized in software maintenance duties such as automatically discovering and correcting defects or providing code refactoring solutions. However, the development of such tools presents significant technical and ethical challenges, such as the necessity of large amounts of high-quality data, the risk of bias present in AI algorithms, and the possibility of AI replacing human jobs. Continuous study in this area is therefore required to ensure that AI-powered software engineering tools are successful, fair, and responsible.

b. Knowledge-based Software Engineering

Another study area that overlaps with AI and software engineering is knowledge-based software engineering (KBSE). KBSE entails creating software systems capable of reasoning about knowledge and applying that knowledge to enhance software development processes. The development of knowledge-based systems that can help software engineers in detecting and addressing complicated problems is one example of KBSE in action. To capture domain-specific knowledge, these systems use knowledge representation techniques such as ontologies, and reasoning algorithms such as logic programming or rule-based systems to derive new knowledge from already existing data.

KBSE can be utilized in the context of AI and software engineering to create intelligent systems capable of learning from past experiences and applying that information to improvise future software development processes. A KBSE system, for example, may be used to generate code based on previous code samples or to recommend code snippets depending on the requirements of a project. Furthermore, KBSE systems could be used to improve the precision and efficiency of software testing and debugging by identifying and prioritizing bugs using knowledge-based techniques. As a result, continued research in this area is critical to ensuring that AI-powered software engineering tools are productive, fair, and responsible.

2. Natural Language Processing

a. Multimodality

Multimodality in Natural Language Processing (NLP) is one of the appealing research ideas for software engineering at the nexus of computer vision, speech recognition, and NLP. The ability of machines to comprehend and generate language from many modalities, such as text, speech, pictures, and video, is referred to as multimodal NLP. The goal of multimodal NLP is to develop systems that can learn from and interpret human communication across several modalities, allowing them to engage with humans in more organic and intuitive ways.

The building of conversational agents or chatbots that can understand and create responses using several modalities is one example of multimodal NLP in action. These agents can analyze text input, voice input, and visual clues to provide more precise and relevant responses, allowing users to have a more natural and seamless conversational experience. Furthermore, multimodal NLP can be used to enhance language translation systems, allowing them to more accurately and effectively translate text, speech, and visual content.

b. Efficiency

The development of multimodal NLP systems must take efficiency into account. as multimodal NLP systems require significant computing power to process and integrate information from multiple modalities, optimizing their efficiency is critical to ensuring that they can operate in real-time and provide users with accurate and timely responses. Developing algorithms that can efficiently evaluate and integrate input from several modalities is one method for improving the efficiency of multimodal NLP systems.

Overall, efficiency is a critical factor in the design of multimodal NLP systems. Researchers can increase the speed, precision, and scalability of these systems by inventing efficient algorithms, pre-processing approaches, and hardware architectures, allowing them to run successfully and offer real-time replies to consumers. Software Engineering training will help you level up your career and gear up to land you a job in the top product companies as a skilled Software Engineer.

3. Applications of Data Mining in Software Engineering

a. Mining Software Engineering Data

The mining of software engineering data is one of the significant research paper topics for software engineering, involving the application of data mining techniques to extract insights from enormous datasets that are generated during software development processes. The purpose of mining software engineering data is to uncover patterns, trends, and various relationships that can inform software development practices, increase software product quality, and improve software development process efficiency.

Mining software engineering data, despite its potential benefits, has various obstacles, including the quality of data, scalability, and privacy of data. Continuous research in this area is required to develop more effective data mining techniques and tools, as well as methods for ensuring data privacy and security, to address these challenges. By tackling these issues, mining software engineering data can continue to promote many positive aspects in software development practices and the overall quality of product.

b. Clustering and Text Mining

Clustering is a data mining approach that is used to group comparable items or data points based on their features or characteristics. Clustering can be used to detect patterns and correlations between different components of software, such as classes, methods, and modules, in the context of software engineering data.

On the other hand, text mining is a method of data mining that is used to extract valuable information from unstructured text data such as software manuals, code comments, and bug reports. Text mining can be applied in the context of software engineering data to find patterns and trends in software development processes

4. Data Modeling

Data modeling is an important area of research paper topics in software engineering study, especially in the context of the design of databases and their management. It involves developing a conceptual model of the data that a system will need to store, organize, and manage, as well as establishing the relationships between various data pieces. One important goal of data modeling in software engineering research is to make sure that the database schema precisely matches the system's and its users' requirements. Working closely with stakeholders to understand their needs and identify the data items that are most essential to them is necessary.

5. Verification and Validation

Verification and validation are significant research project ideas for software engineering research because they help us to ensure that software systems are correctly built and suit the needs of their users. While most of the time, these terms are frequently used interchangeably, they refer to distinct stages of the software development process. The process of ensuring that a software system fits its specifications and needs is referred to as verification. This involves testing the system to confirm that it behaves as planned and satisfies the functional and performance specifications. In contrast, validation is the process of ensuring that a software system fulfils the needs of its users and stakeholders.

This includes ensuring that the system serves its intended function and meets the requirements of its users. Verification and validation are key components of the software development process in software engineering research. Researchers can help to improve the functionality and dependability of software systems, minimize the chance of faults and mistakes, and ultimately develop better software products for their consumers by verifying that software systems are designed correctly and that they satisfy the needs of their users.

6. Software Project Management

Software project management is an important component of software engineering research because it comprises the planning, organization, and control of resources and activities to guarantee that software projects are finished on time, within budget, and to the needed quality standards. One of the key purposes of software project management in research is to guarantee that the project's stakeholders, such as users, clients, and sponsors, are satisfied with their needs. This includes defining the project's requirements, scope, and goals, as well as identifying potential risks and restrictions to the project's success.

7. Software Quality

The quality of a software product is defined as how well it fits in with its criteria, how well it performs its intended functions, and meets the needs of its consumers. It includes features such as dependability, usability, maintainability, effectiveness, and security, among others. Software quality is a prominent and essential research topic in software engineering. Researchers are working to provide methodologies, strategies, and tools for evaluating and improving software quality, as well as forecasting and preventing software faults and defects. Overall, software quality research is a large and interdisciplinary field that combines computer science, engineering, and statistics. Its mission is to increase the reliability, accessibility, and overall quality of software products and systems, thereby benefiting both software developers and end consumers.

8. Ontology

Ontology is a formal specification of a conception of a domain used in computer science to allow knowledge sharing and reuse. Ontology is a popular and essential area of study in the context of software engineering research. The construction of ontologies for specific domains or application areas could be a research topic in ontology for software engineering. For example, a researcher may create an ontology for the field of e-commerce to give common knowledge and terminology to software developers as well as stakeholders in that domain. The integration of several ontologies is another intriguing study topic in ontology for software engineering. As the number of ontologies generated for various domains and applications grows, there is an increasing need to integrate them in order to enable interoperability and reuse.

9. Software Models

In general, a software model acts as an abstract representation of a software system or its components. Software models can be used to help software developers, different stakeholders, and users communicate more effectively, as well as to properly evaluate, design, test, and maintain software systems. The development and evaluation of modeling languages and notations is one research example connected to software models. Researchers, for example, may evaluate the usefulness and efficiency of various modeling languages, such as UML or BPMN, for various software development activities or domains.

Researchers could also look into using software models for software testing and verification. They may investigate how models might be used to produce test cases or to do model checking, a formal technique for ensuring the correctness of software systems. They may also examine the use of models for monitoring at runtime and software system adaptation.

The Software Development Life Cycle (SDLC) is a software engineering process for planning, designing, developing, testing, and deploying software systems. SDLC is an important research issue in software engineering since it is used to manage software projects and ensure the quality of the resultant software products by software developers and project managers. The development and evaluation of novel software development processes is one SDLC-related research topic. SDLC research also includes the creation and evaluation of different software project management tools and practices.

Researchers may also check the implementation of SDLC in specific sectors or applications. They may, for example, investigate the use of SDLC in the development of systems that are more safety-critical, such as medical equipment or aviation systems, and develop new processes or tools to ensure the safety and reliability of these systems. They may also look into using SDLC to design software systems in new sectors like the Internet of Things or in blockchain technology.

Why is Software Engineering Required?

Software engineering is necessary because it gives a systematic way to developing, designing, and maintaining reliable, efficient, and scalable software. As software systems have become more complicated over time, software engineering has become a vital discipline to ensure that software is produced in a way that is fully compatible with end-user needs, reliable, and long-term maintainable.

When the cost of software development is considered, software engineering becomes even more important. Without a disciplined strategy, developing software can result in overinflated costs, delays, and a higher probability of errors that require costly adjustments later. Furthermore, software engineering can help reduce the long-term maintenance costs that occur by ensuring that software is designed to be easy to maintain and modify. This can save money in the long run by lowering the number of resources and time needed to make software changes as needed.

2. Scalability

Scalability is an essential factor in software development, especially for programs that have to manage enormous amounts of data or an increasing number of users. Software engineering provides a foundation for creating scalable software that can evolve over time. The capacity to deploy software to diverse contexts, such as cloud-based platforms or distributed systems, is another facet of scalability. Software engineering can assist in ensuring that software is built to be readily deployed and adjusted for various environments, resulting in increased flexibility and scalability.

3. Large Software

Developers can break down huge software systems into smaller, simpler parts using software engineering concepts, making the whole system easier to maintain. This can help to reduce the software's complexity and makes it easier to maintain the system over time. Furthermore, software engineering can aid in the development of large software systems in a modular fashion, with each module doing a specific function or set of functions. This makes it easier to push new features or functionality to the product without causing disruptions to the existing codebase.

4. Dynamic Nature

Developers can utilize software engineering techniques to create dynamic content that is modular and easily modifiable when user requirements change. This can enable adding new features or functionality to dynamic content easier without disturbing the existing codebase. Another factor to consider for dynamic content is security. Software engineering can assist in ensuring that dynamic content is generated in a secure manner that protects user data and information.

5. Better Quality Management

An organized method of quality management in software development is provided by software engineering. Developers may ensure that software is conceived, produced, and maintained in a way that fulfills quality requirements and provides value to users by adhering to software engineering principles. Requirement management is one component of quality management in software engineering. Testing and validation are another part of quality control in software engineering. Developers may verify that their software satisfies its requirements and is error-free by using an organized approach to testing.

In conclusion, the subject of software engineering provides a diverse set of research topics with the ability to progress the discipline while enhancing software development and maintenance procedures. This article has dived deep into various research topics in software engineering for masters and research topics for software engineering students such as software testing and validation, software security, artificial intelligence, Natural Language Processing, software project management, machine learning, Data Mining, etc. as research subjects. Software engineering researchers have an interesting chance to explore these and other research subjects and contribute to the development of creative solutions that can improve software quality, dependability, security, and scalability.

Researchers may make important contributions to the area of software engineering and help tackle some of the most serious difficulties confronting software development and maintenance by staying updated with the latest research trends and technologies. As software grows more important in business and daily life, there is a greater demand for current research topics in software engineering into new software engineering processes and techniques. Software engineering researchers can assist in shaping the future of software creation and maintenance through their research, ensuring that software stays dependable, safe, reliable and efficient in an ever-changing technological context. KnowledgeHut’s top Programming certification course will help you leverage online programming courses from expert trainers.

Frequently Asked Questions (FAQs)

To find a research topic in software engineering, you can review recent papers and conference proceedings, talk to different experts in the field, and evaluate your own interests and experience. You can use a combination of these approaches.

You should study software development processes, various programming languages and their frameworks, software testing and quality assurance, software architecture, various design patterns that are currently being used, and software project management as a software engineering student.

Empirical research, experimental research, surveys, case studies, and literature reviews are all types of research in software engineering. Each sort of study has advantages and disadvantages, and the research method chosen is determined by the research objective, resources, and available data.

Eshaan Pandey

Eshaan is a Full Stack web developer skilled in MERN stack. He is a quick learner and has the ability to adapt quickly with respect to projects and technologies assigned to him. He has also worked previously on UI/UX web projects and delivered successfully. Eshaan has worked as an SDE Intern at Frazor for a span of 2 months. He has also worked as a Technical Blog Writer at KnowledgeHut upGrad writing articles on various technical topics.

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software engineering topics for term paper

150 Best Research Paper Topics For Software Engineering

Software Engineering is a branch which deals with the creation and improvement of software applications using specific methodologies and clearly defined scientific principles. When developing software products, certain procedures must be followed, the outcome of which is a reliable and reliable software product. Software is a collection of executable code for programs with associated libraries. Software that is designed to meet certain requirements is referred to as a Software Product . This is an excellent subject for a master's thesis, research, or project. There are a variety of topics within Software Engineering which will be useful to M.Tech and other students studying for their masters to write their software thesis.

What is the reason Software Engineering is required?

Software Engineering is necessary due to the frequent shifts in the requirements of users as well as the environment. Through yourch and thesis, you will learn more about the significance of Software Engineering. Here are some other areas in software engineering that are needed:

Big Software: The massive dimension of software makes it necessary for the requirements in software engineering .
Scalability The concept of scaling Software Engineering makes it possible to increase the size of existing software rather than develop brand-new software.
Cost Price Software Engineering also cuts down the manufacturing cost that is incurred during software development.
The dynamic nature of Software - Software Engineering is a crucial factor when the need for new features is to be made in software in place, in the event that the nature of software is fluid.
Better Quality Management - Software Engineering can provide more efficient software development processes to provide superior-high-quality services .

Best Research Paper Topics on Software

Software Engineering Management Unified Software Development Process and Extreme ProgrammingThere are a lot of difficulties with managing the development of software for web-based applications and projects for systems integration that were completed in recent times.
The Blue Sky Software Consulting Company Analysis
Blue Sky Software Consulting Blue Sky Software Consulting company has seen great success over 15 years. The company is not as well-equipped for the current market.
LabVIEW Software: Design Systems of Measurement
LabVIEW is a software program that was created to design systems for measurement. LabVIEW gives you a range of instruments to control the process in an experiment.
Software-producing Firm Reducing Inventory
The link between the reduction in inventory levels and the number of orders is evident. An organization that produces software may think of increasing the amount of software to a lower level.
Moet Hennessy - Louis Vuitton: Enterprise Software
The report will demonstrate how the introduction of ERP will help LVHM Group improve its results by improving its inventories, logistics and accounting.
Virtualization and Software-Defined Networking
The goal of this paper is to analyze the developments in the field of virtualization, software-defined networks and security for networks in the last three years.
Computer Hardware and Software Components
Computers that were developed at the time of the 40s of 1940 have evolved into complex machines that require software and hardware for their operation.
Applications, Software and System Development
The usage the Microsoft Office applications greatly enhance productivity in the classroom as well as at work and during everyday activities at home.
PeopleSoft Inc.'s Software Architecture and Design
With the PIA architecture, any company with an ERP application can access all of its operations through a Web browser.
Co-operative Banking Group's Enterprise Software
The report demonstrates how the implementation of the ERP system within the Co-operative Banking Group will help in improving the company's accounting, inventory and accounting practices as well as logistics processes.
Software Testing: Manual and Automated Web-Application Testing Tools
This research is an empirical study of automated and manual web-based application testing tools to determine the best tool for testing software.
JDA Software Company's Services
JDA Software is a company that has proven its worth in the development of services in areas like manufacturing, wholesale distribution, retailing and travel.
Data Management, Networking and Enterprise Software
Enterprise software is typically developed "in-house" and thus has an inflated cost when contrasted to purchasing the software from another firm.
Software Workshops and Seminars Reflections
Most seminars inspire participants to use their potential as they strive to attain their goals.
The Various Enterprise Resource Planning Software Packages
This paper's purpose is to provide an overview of the various Enterprise Resource Planning (ERP) software applications that are widely employed by companies to manage their business operations.
Explore Factors in IBM SPSS Statistical Software
The "Explore" or "Explore" command in IBM SPSS generates an output with a variety of stats for a single variable, across the entire sample or in sections of the sample.
Split Variables in IBM SPSS Statistical Software
It is the IBM SPSS software provides an option to split files into groups. The members of cases within groups can be determined by the values of split variables in this particular instance.
Syntax Code Writing in Statistical Software
The process of analyzing quantitative data by using IBM SPSS software package IBM SPSS software package often involves performing a variety of operations to calculate the statistical data for the information.
Data Coding in Statistical Software
Data coding is of utmost importance when a proper analysis of this data has to be conducted. Data coding plays an important function when you need to make use of statistical software.
Software Piracy at Kaspersky Cybersecurity Company
Software piracy is a pressing current issue that is manifested both locally with respect to an individual company and also globally.
Hotjar: Web Analytics Software Difference
This report examines Hotjar, which is a web-based analytics tool that comes with a full set of tools to evaluate. This paper examines its strengths and advantages, as well showing how it can aid in the management of decision-making.
Avast Software: Company Analysis
Avast Software is a globally well-known multinational company that is an industry leader in providing security solutions for both business and individual customers.
Project Failure, Project Planning Fundamentals, and Software Tools and Techniques for Alternative Scheduling
From lack of communication to generally unfavourable working conditions, Projects may fail when managers fail to prepare for their implementation.
Computer Elements such as Hardware and Software
Personal computers are usually different from computers used for business in terms of capabilities and the extent of technology used within the equipment.
Review of a New Framework for Software Reliability Measurement
This study draws upon the in-depth study of the software reliability measurement methods and the suggestion of a fresh foundation for reliability measurement built on the software metrics studied in the work of Amar as well as Rabai.

Good Software Research Topics & Essay Examples

Task Management Software in Organization
The goal of the plan for managing projects is to present the process of creating task management software that can be integrated into the context of the company.
A task management software plan's risk management strategy
The present study introduces us to the techniques for risk identification as well as quality assurance and a control plan and explains their significance.
Computer Software Development and Reality Shows
The growth of software in computers has been at such a fast rate over the last 10 years that it has impacted all aspects of our lives and every fibre of our being.
Scrum - Software Development Process
Digital systems and computerized systems have brought life to many areas. Scrum is a process for software development that guarantees high quality and efficiency.
Distribution of Anti-Virus Software
Numerous new threats are reported every fortnight. Cyberattacks, viruses, and other cyber-related threats are becoming an issue.
Marketing Plan: Innovative Type of Software Product
This paper will create an advertisement plan for the new kind of software, which will help to define the segment of clients and the price and communications platform.
Marketing System of Sakhr Software Co
The principal objective of this paper is to examine the marketing process in the same type of organization, like Sakhr Software Co.
Managing Information of Sakhr Software Co
This paper will examine the ideas of managing information for Sakhr Software, which is a well-known language software firm.
CRM Software in Amazon: Gains
The software for managing customers that Amazon.com developed is, from the beginning, one of the latest technology.
Neurofeedback Software and Technology Comparison
MIDI technology helps make the making of, learning or playing more enjoyable. Mobile phones and computer keyboards for music, computers etc., utilize MIDI.
PeopleSoft Software and HR.net Enterprise Software
With the help of HRIS software, HR employees are able to manage their own benefits updates and make changes, allowing them to take more time to focus on other important tasks.
Business Applications: Revelation HelpDesk by Yellow Fish Software
"Revelation HelpDesk" is an online Tracking and Support Software that facilitates seamless coordination to occur between the most important divisions within an organization.
3D signal editing methods and editing software for stereoscopic movies
3D editing for movies is one of the newest trends and is among the most complex processes in the modern film industry.
ERP Software in Inventory Management
Management of inventory ERP applications will be useful when a business has to manage the manner in which it gets goods and cleans up the merchandise.
The Capabilities of Compiere Software and How Well It Fits Into Different Industries
It is the ERP software Compiere can be used by a wide variety of users, including governments, businesses as well as non-governmental organizations (NGOs).
Software Tools for Qualitative Research
This paper reviews software tools to solve complicated tasks in the analysis of data. The paper compares NVivo, HyperRESEARCH, and Dedoose.
Data Scientist and Software Development
Data scientists convert data into insights, giving elaborate guidance to those who use the data to make educated decisions and take action.
IPR Violations in Software Development
The copyright law protects only the declaration but not the software concept. It prohibits copying code from the source without asking permission.
Health IT: Epic Software Analysis
Implementation and adoption of Health IT systems are crucial to improve the efficiency of medical practices, efficiency of workflow as well as patient outcomes.
Agile Software Development Process
The agile process for software development offers numerous benefits, such as the speedy and continuous execution of your project.
Project Management Software and Tools Comparison
The software is used by managers to ensure that there isn't any worker who is receiving more work than others and also to ensure that no worker is falling behind in their job.
Visually impaired people: challenges in Assistive Technology Software
Blind people suffer from a number of disadvantages each day while using digital technology. The various types of software and software discussed in this paper have been specifically designed to help improve the lives of blind people.
WBS completion and software project management
The PERT's results resulted in the development of The Gantt chart. This essay provides an account of the method of working with the Gantt chart.
International Software Development's Ethical Challenges: User-Useful Software
The importance of ethics is when it comes to software development. It helps the creator to create software that will be useful for the user as well as the management.
Achieving the Optimal Process. Software Development
The industry of software development is growing rapidly as the requirements of users change. This requires applications to meet these needs.

Innovative Software to Blog About

System Software: Analysis of Various Types of System Software
The paper provides opinions on the various system softwares using their strengths and weaknesses from the personal experiences of the creator.
Sakhr Software Co.'s Marketing System
The principal goal of this paper is to study the uniqueness of the system of marketing in such an organization as Sakhr Software Co from Kuwait, which specializes in NLP.
Program Code in Assembly Language Using Easy68K Software
A typical scenario is described in the report to write program code in assembly language with Easy68K software. The appropriate tests were carried out with success and outputs.
Benefits and Drawbacks of Agile Software Development Techniques
The use of agile methodologies in the software development process contributes to the improvement of work as well as the effectiveness of performance.
The use of agile methodologies in the development of software contributes to the efficiency of work and efficiency of performance.
Large Scale Software Development
This report gives information on this Resource Scheduling project. It can be useful to an advisory firm that offers various types of resources.
Penguin Sleuth, a Forensic Software Tool
The primary goal of this paper is to examine the various tools for forensic analysis and also provide a comprehensive overview of the functions available for each tool or tool pack.
System Software: Computer System Management
Computer software comprises precise preprogrammed instructions that regulate and coordinate hardware components of the computer.
Ethical Issues Involved in Software Project Management
Ethics within IT have been proven to be very different from other areas of ethics. Ethics issues in IT are usually described as having little.
Advantages and Disadvantages of Software Suites
Computer software comprises specific preprogrammed commands that control and coordinate computer hardware components of an info system.
Descriptive Statistics Using SPSS Software Suite
This paper focuses on the process of producing the descriptive statistical analysis by using SPSS. The purpose of this article is to make use of SPSS to perform an analysis of descriptive data.
Software Development: Creating a Prototype
The aim of this article is to develop an experimental software program that can be utilized to aid breast cancer patients.
Software Engineering and Methodologies
The paper explains how the author learned the software engineering process and methods as an outcome of his experiences at BTR IT Consulting Company.
Information System Hardware and Software
Information technology covers a wide variety of applications in which computer software, along with hardware, is employed.
Software Development Project Using Agile Methods
The report will provide reasons behind why the agile methodology was chosen, the method used, how the team applied this methodology, and also the lessons learned from the massive project of software development.
Flight Planning Software and Aircraft Incidents
Software for flight planning refers to programs utilized to control and manage flights and other procedures while the plane is in flight.
Hardware and Software Systems and Criminal Justice
One of the primary techniques used to decrease the chance of criminal activity is crime mapping. This involves collecting information on crimes and their causes and then analyzing it in order to identify issues.
Why Open-Source Software Will (Or Will Not) Soon Dominate the Field of Database Management Tools
The research aims to determine whether open-source software will rule the field of the database since there is an evolution in the market for business.
Business HRM Software and the Affordable Care Act
The Affordable Care Act has its strengths but also flaws. The reason is the complex nature of the law that creates a variety of challenges.
Antivirus Software Ensuring Security Online
Although it's not perfect and fragmentary, it can be seen as a supplement and not the sole instrument; antivirus software will help protect one's privacy online.
Evaluating Teaching Instructional Software for 21st-Century Technology Resources
The software for teaching Joe Rock and Friends Book 2 is designed for third-grade students who are studying English as an additional language to read and learn new vocabulary.
Britam Insurance Company's Sales and Marketing Management Software
Britam Insurance Company needs to implement the latest marketing and management software in order to keep its place at the forefront of the extremely competitive insurance market.
Software Programs: Adobe Illustrator
With Adobe Illustrator, users can quickly and precisely create various products, like logos, icons as well as drawings.
Strawberry Business: Software Project Management
Although the company has an established management strategy as well as a team of employees and efficient information systems, it lacks a standardized workplace culture and customer relations systems.
Value of Salesforce Software Using VRIO Model
Salesforce CRM software is created to help managers manage their businesses effectively. It connects all teams and managers and collects and manages customer information.
Agile software development, as well as popular variations like Scrum, are the foundation for the work of a variety of testers and developers. No matter what team or method you're currently using, you can get expert guidance on process structure and the skills required to use Lean, Agile, DevOps, Waterfall and more to help you implement it for your business.

Most Interesting Software Research Titles

What Are the Essential Attributes of Good Software?
How Computer Software Can Be Used as a Tool for Education
Accounting Software and Application Software
Online National Polling Software Requirements Specification
Building Their Software for a Company's Success
The Role of Antivirus Software in Protecting Your Computer Data
Intellectual Property Rights, Innovation and Software Technologies
Software Piracy and the Canadian Piracy Act
For the development of software projects, agile methodologies and their Waterscrumfall derivative are used.
Software Tools for Improving Underground Mine Access Layouts
How Software Can Support Academic Librarians' Changing Role
Using the Untangle Software to Overcome Obstacles for Small Businesses
By employing travel portal software, online booking sales will increase.
Analysis of Network Externality and Commercial Software Piracy
Accounting Software and Business Solutions
Analysis of Key Issues and Effects Relating to International Software Piracy
The Distinction Between Computer Science and Software Engineering
Modulation: Computer Software and Unknown Music Virus
Math Software for High School Students with Disabilities
Keyboarding Software Packages: Analysis and Purchase Recommended
Basic Software Development Life Cycle
India's Problems with Software Patents, Copyright, and Piracy
Why Has India Been Able to Build a Thriving Software Industry
Does Social Software Increase Labour Productivity
The Role of Open Source Software for Database Servers

Simple Software Essay Ideas

Human Capital and the Indian Software Industry
Input-Output Computer Windows Software
Business Software Development and Its Implementation
Evaluating Financial Management Software: Quicken Software
Which governance tools are important in Africa for combating software piracy?
Distinguish Between Proprietary Software and Off-The-Shelf
Does Social Software Support Service Innovation
Ambulatory Revenue Management Software
Difference Between Operating Systems and Application Software
Leading a Global Insurgency in the Software Sector are China and India
Call Accounting Software for Every Enterprise
Technology Standards for Software Outsourcing
The Importance of the Agile Approach for Software Development
Application Software: Publisher, Word, and Excel
Employee Monitoring Through Computer Software
Software Development Lifecycle and Testing's Importance
Tools for Global Conditional Policy to Combat Software Piracy
Software for Designing Solar Water Heating Systems
Open Source Software, Competition, and Potential Entry
Indian Software Industry: Gains are distorted and consolidated
Software Programs for Disabled Computer Users and Assistive Technology
Agile Software Architecture, Written by Christine Miyachi
Software Development: The Disadvantages of Agile Methods
Computer Software Technology for Early Childhood
Developing Test Automation Software Development

Easy Software Essay Topics

Growth Trends, Barriers, and Government Initiatives in the Indian Software Industry
How Does Enterprise Software Enable a Business to Use
Integrated Management Software the Processing of Information
Computer Software Training for Doctor's Office
Software Intellectual Property Rights and Venture Capitalist Access
Computer Science Software Specification
Software Projects and Student Software Risk Exposure
Why It Is Difficult to Create Software for Wireless Devices
Affiliate Tracking Software Your Payment Options
How Can Volkswagen Recover From the Cheating Issues It Had Because Illegal Software Was Installed?
Principles of Best Forensic Software Tool
The American Software Industry: A Historical Analysis
How Peripheral Developers Contribute to the Development of Open-Source Software
Agile Methodologies for Software Development
Key Macroeconomic Factors That Affect Software Industry
The Software Industry and India's Economic Development
Improving Customer Service Through Help Desk Software
Enterprise Resource Planning and Sap Software
Antivirus Software and Its Importance
Hardware and Software Used in Public Bank
The Effects of Computer Software Piracy on the Global Economy
Using the Winqsb Software in Critical Path Analysis
General Information About Interactive Multimedia-Based Educational Software
How Affiliate Tracking Software Can Benefit You
Computer Software and Recent Technologies

Frequently asked questions

What are the main topics of software engineering .

software development.

Introduction
Models and architecture for software development
Project management for software (SPM)
Software prerequisites
Testing and debugging software

What makes good research in software engineering ?

The most typical research strategy in software engineering is coming up with a novel method or methodology, validating it through analysis, or demonstrating its application through a case study;

What projects are good for software engineering ?

monitoring of Android tasks.
Analyzing attitudes to rate products
ATM with a fingerprint-based method.
a modern system for managing employees.
Using the AES technique for image encryption.
vote-by-fingerprint technology.
system for predicting the weather

What are the research methods in software engineering ?

We list and contrast the five categories of research methodology that, in our opinion, are most pertinent to software engineering: controlled experiments (including quasi-experiments); case studies (both exploratory and confirmatory); survey research; ethnographies; action research; and controlled experiments.

Is software engineering a research area ?

A relatively recent area of research, software engineering is derived from computer science. Its significance has been generally acknowledged by more and more academics in the field of computers throughout the course of six decades, from 1948 to the present, and it has developed into a vibrant and promising division of the computing profession.

Is software engineering easy ?

Yes, learning software engineering can be challenging at first, especially for those without programming or coding experience or any background in technology. However, numerous courses, tools, and other resources are available to assist with learning how to become a software engineer.

Who is the father of software engineering ?

The "father of software quality," Watts S. Humphrey, was an American software engineering pioneer who lived in Battle Creek, Michigan (U.S.) from July 4, 1927, to October 28, 2010.

What do you do in software engineering ?

roles and tasks for software engineers
creating and keeping up software systems.
testing and evaluating new software applications.
software speed and scalability optimization.
code creation and testing.
consulting with stakeholders such as clients, engineers, security experts, and others.

Which is better it or software engineering ?

IT support engineers cannot build sophisticated solutions, while software engineers can. In a word, they are in charge of creating and putting into use software. Knowing the distinctions makes it easier to choose the right individual to handle our tech-related problems.

Are junior software engineers in demand ?

Yes, there is a need for young coders.

Is software engineering going down ?

Software experts and software goods are oversaturating the job market for software engineers.

What degree do I need to be a software engineer ?

undergraduate degree

Can I be a software engineer without a degree ?

Many software developers lack a degree from a reputable university (or, in some circumstances, none at all).

How many years can a software engineer work ?

An engineer who wants to work in IT has a 15–20 year window.

How many hours do software engineers work ?

Software developers put in 8 to 9 hours each day, or 40 to 45 hours per week.

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Software Engineer Research Paper Topics 2021: Top 5

Whether you’re studying in advance or you’re close to getting that Software Engineering degree, it’s crucial that you look for possible research paper topics in advance. This will help you have an advantage in your course.

First off, remember that software engineering revolves around tech development and improvement.

Hence, your research paper should have the same goal. It shouldn’t be too complex so that you can go through it smoothly. At the same time, it shouldn’t be too easy to the point that it can be looked up online.

Choosing can be a difficult task. Students are often choosing buy assignment from a professional writer because of the wrong topic choice. Thus, to help you land on the best topic for your needs, we have listed the top 5 software engineer research paper topics in the next sections.

Machine Learning

Machine learning is one of the most used research topics of software engineers. If you’re not yet familiar with this, it’s a field that revolves around producing programs that improve its algorithm on its own just by the use of existing data and experience.

Basically, the art of machine learning aims to make intelligent tools. Here, you will need to use various statistical methods for your computers’ algorithms. This somehow makes it a complex and long topic.

Even so, the good thing about the said field is it covers a lot of subtopics. These can include using machine learning for face spoof detection, iris detection, sentiment analysis technique, and likes. Usually, though, machine learning will go hand in hand with certain detection systems.

Artificial Intelligence

Artificial Intelligence is a much easier concept than machine learning. Note, though, that the latter is just another type of AI tool.

AI refers to the human-like intelligence integrated into machines and computer programs. Focusing on this will give you much more topics to write about. Since it’s present in a lot of fields like gaming, marketing, and even random automated tasks, you will have more materials to refer to.

Some things that you can write about in your paper include AI’s relationship with software engineering, robotics, and natural processing. You can also write about the different types of artificial intelligence tools for a more guided research paper.

Internet Of Things

Another topic that you can write about is the Internet of Things, or more commonly known as IoT . This refers to interconnected devices, machines, or even living beings as long as a network exists.

Writing about IoT will open a huge array of possibilities to write about. You can talk about whether the topic is a problem that needs additional solutions or improvements. At the same time, you will be able to talk about specific machine requirements since IoT works mainly with communication servers.

In addition, the concept of the Internet of Things is also used in several fields like agriculture, e-commerce, and medicine. Because of this, you can rest assured that you won’t run out of things to talk about or refer to.

Software Development Models

Next up, we have software development models. If you want to write about a research paper(or maybe you decided to purchase custom research paper ?) relating to how one can start building an app or software, then using software development models as a topic is a good choice.

Here, you can choose to write about what the concept is or delve deeper into its different types. You can look into the Waterfall Model, V-Model, Incremental, RAD, Agile, Iterative, Spiral, and Prototype. You can choose either one or all of the models and then relate them to software engineering.

Clone Management

One of the most important elements in software engineering is the clone base. Hence, using this as a research topic will help you stay relevant to your course and its needs. In particular, you can focus on clone management.

Clone management is a task that revolves around ensuring that a database is free from error and duplicated codes. What makes this a good topic is its materials are still limited in the field of software engineering. This is compared to other clone-related topics. Hence, you can ensure a distinct topic for your paper.

To land on the best topic, take your interest into account. Look for the field that makes you curious and entertained. In this way, you can build motivation to actually know more about it, and not just for the sake of submitting.

Another good tip is to choose a unique topic. The ones we discussed above can be considered unique since they are some of the latest software-related topics. If you’re going to use a common one, then make sure that you put your own little twist to it. You can also consider seeing the topic in a different light.

Anyhow, your research paper, its grade, and overall quality will greatly depend on what you choose to write about.

188 Software Essay Topics

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Advantages and Disadvantages of Software Suites
The Principle of Software-Defined Networking and Intent-Based Networking
Program Code in Assembly Language Using Easy68K Software
ezyVet and AVImark Veterinary Management Software
System Software: Computer System Management
Moët Hennessy – Louis Vuitton: Enterprise Software
Helpmewrite.AI Software’s Business Feasibility
Computer Hardware and Software Components Computers, which were invented as far back as in the 1940s, are highly complex machines that need both hardware and software for their operation.
Information System Hardware and Software Information technology involves a wide range of operations where computer software, as well as hardware, is utilized.
The Best Presentation Software Although when the matter concerns the presentation software, PowerPoint is the first thing that comes to mind for most users, there are many available and free analogs.
Britam Insurance Company’s Sales and Marketing Management Software Britam Insurance Company has to adopt the new marketing and management software to remain at the top of the highly competitive insurance industry.
Traditional Kantianism and Its Relation to Software Engineering Ethics The first and second principles of software engineering ethics represent the first formulation of the ethical theory of Kantianism as they call to act in the best interests.
Descriptive Statistics Using SPSS Software Suite This paper discusses producing and interpreting descriptive statistics using SPSS. The task of this paper is to use SPSS to carry out a descriptive analysis of data.
Stereoscopic Movie Editing: 3D Signal Editing Techniques and Editing Software 3D movie editing is one of the latest tendencies and is one of the most demanding processes of the contemporary movie industry.
Software Engineering Management: Unified Software Development Process and Extreme Programming There have been considerable issues in managing the software development process for the web applications and systems integration projects completed recently.
Hardware and Software Systems and Criminal Justice One of the main technologies used to reduce the risk of criminal activity is crime mapping, which includes collecting data on criminal incidents and assessing it to detect problems.
Talabat Company’s Major Changes and Software Solutions There are numerous software solutions that are available to Talabat, although the focus will be placed on several of the best-rated ones.
AutoCAD Software’s Benefits and Disadvantages The paper argues the combination of AutoCAD’s benefits and versatility makes it the leading design and engineering model software in the current environment.
Large Scale Software Development This report provides information regarding the Resource Scheduling project. It is useful for a consultant company that provides resources of different types.
Rawls’ Social Contract Theory and Software Engineering Ethics John Rawls defined the characteristics of a just society through his social contract theory. Rawls’ social contract theory relates to the ethics of software engineering.
Software Programs: Adobe Illustrator Using Adobe Illustrator, users can efficiently and accurately develop various products, such as icons, logos, and drawings.
Software Piracy at Kaspersky Cybersecurity Company Software piracy is an urgent contemporary problem that manifests itself both locally in relation to an individual organization and globally.
Ethical Issues Involved in Software Project Management Ethical issues in IT have been found to greatly differ from ethics in other areas. Ethical issues in IT are mostly characterized by little.
Visually Impaired People: Challenges within Assistive Application Software Blind people face several disadvantages daily when using digital technologies. The types of applications and software considered in the paper are designed to improve the situation.
Image Processing With MATLAB Software The paper presents the Matlab code for three questions. The first question tackles image processing mechanisms. It touches on average, Gaussian and medial filtering techniques.
AutoCAD Software Properties and Interface The properties dialog box of the AutoCAD Software has a central location for viewing and allowing modification of the graphical and physical properties of an object.
Software Development and Evaluation To understand how to develop software for an organization, it is important to compare and contrast commercial, open source, and internally developed software methodologies.
Strawberry Business: Software Project Management While the business has a well-developed management strategy, employee team, and reliable information systems, it lacks defined workplace culture and customer relations system.
Agile Methods: Benefits and Drawbacks of Agile Software Development Agile methodologies used in software development contribute positively to the optimization of work and effectiveness of performance. Agile methodologies used in software development contribute positively to the optimization of work and effectiveness of performance.
Agile Software Development Process The agile software development process provides multiple benefits, including timely and continuous delivery of the project.
IPR Violations in Software Development The copyright law protects the statement and not the software idea. This regulates people from copying source code without seeking permission.
Scrum – Software Development Process Computerized systems and digital solutions have added life to a number of fields. Scrum is a software development process that ensures high quality and performance.
Abstract Painting: The Use of Software Today, painters can use computer software to create pieces of art. Using the computer does not require knowledge about complicated techniques.
Value of Salesforce Software Using VRIO Model Salesforces CRM is software that is designed to help managers organize their businesses efficiently. It connects all of the teams, leaders, and systematizes customer data.
Flight Planning Software and Aircraft Incidents Flight planning software refers to programs that are used to manage and execute flight and other processes undertaken when the plane is airborne.
Software Workshops and Seminars Reflections Most seminars motivate the participants to make use of their inherent potential as they seek to achieve their excellence.
Data Management, Networking and Enterprise Software Enterprise software is often created “in-house” and thus has a far higher cost as compared to simply buying the software solution from another company.
Co-operative Banking Group’s Enterprise Software The report illustrates how implementation of ERP system in Co-operative banking group will help in improving the firm’s accounting, inventory as well as logistics practices.
E-Commerce Software and Its Basic Functions E-commerce software is the operating system of an online store. With the assistance of e-commerce software, it is possible to distinguish among the representatives of the industry.
Hardware and Software Components of Computer Network This report focuses on the hardware and software requirements for James Otis Tax Associates’ new office computer network among certified public accountants (CPA).
The Crucial Role of ERP Software in Business Operations With ERP, SCM, and CRM applications, businesses find it challenging to innovate and participate in the marketplace because technologies take time and money.
An Equity Markets Software Company Proposal The paper states that learning how markets work and where to begin may seem intimidating, but this is where IT software like StarEquity is helpful.
The Software Development Life Cycle The essence of the Software Development Life Cycle methodology is that developers are constantly testing their projects, quickly identifying small bugs before they become critical.
Internet Technology: Software Maintenance and Evolution More and more organizations depend on trends in the IT market. Now one can see how even small companies hire employees who can create a website.
The Use of Network Mapping Software in Statistical Research In this paper, NodeXL is used to study the interactions of five competing companies in an industry market to estimate the parameters of their Twitter communication.
Hardware and Software for Health Tactical Health Tactical company plans to use Amazon Relational Database and MySQL as the key software components in delivering products to their customers.
Computer-Assisted Qualitative Data Analysis Software Researchers are increasingly relying on computers to run qualitative data analysis software (QDAS), particularly when working with digital media files.
Open-Source Software Culture Open-source software offers multiple benefits for all members of the information technology industry. It is cost-efficient, flexible, readily available, secure, and easy to use.
Software Engineering Principles From an Agile Point of View Abstract—Agile methods have emerged due to the vast emphasis on tools and the non-interactive nature of software engineering.
Developer and Software Project Manager: The Importance of Interaction The interaction between the developer and the software project manager is a prerequisite for successfully implementing a project.
Ethics in Cybersecurity and Software Engineering Ethical philosophy as a whole implies a search for definitions and mechanisms for the systematic distinction between right and wrong.
Discussing Different Software Development Methodologies There is an extended number of software methodologies that have their advantages and disadvantages. First, organizations can use the Waterfall method.
Ethical Dilemmas in Software Engineering: Volkswagen Ethical Dilemma The Volkswagen controversy is a portrayal of how engineers have compromised the company, stakeholder satisfaction, and regulatory norms by engaging in unethical behavior.
Accounting Software for Business This research paper examines the four accounting programs for business: QuickBooks, FreshBooks, Xero, and Wave.
Customer Relationship Management Software Implementation Customer Relationship Management software is one of the most effective approaches to improving the management of customers in an organization.
The Issue of Ethics in Software Systems This paper focuses on issues and devises remedies for ethical lapsing in online job boards as one of the software systems.
How Banks Can Use Open Source Software Banks can utilize OSS as consumers either internally or externally. Consuming open source means using open source components in a bank’s applications or facilities.
Swipr Software Company’s Entry Into China Swipr is a software company that runs a microblogging platform. This paper aims to study the viability of the company’s entry ambitions into China.
Curriculum Implementation With New Software The process of implementing new software is multi-faceted and complex, and its effects are yet to be noticed. The doubts on the subject, however, might be addressed separately.
Software Technologies in Healthcare Analyzing the process of introducing software technologies in healthcare, it can be said that there are more transparent processes due to these novel enhancements of medicine.
System Simulation and Modelling: Arena Operating Software The paper discusses the implementation of the Arena Operating software for this case study, and the results exceeded the expected outcome.
Urban Planning Software: Network Analysis Toolbox The paper analyzes the Network Analysis Toolbox – software that was created to model the traffic of bicycles and pedestrian routes in the cities by modeling them.
Software-Defined Networking and Intent-Based Networking The paper discusses about Software-Defined Networking and Intent-Based Networking from aspects of utility and its advantages and disadvantages.
DJ (Disc Jockey) Controllers and Serato DJ Software DJ controllers and software such as Serato DJ are tools that assist modern musicians in creating and mixing their compositions.
OnePoint Software’s Strategic Marketing Plan This document entails the OnePoint Software Strategic Marketing Plan. This is a new open-source software company that seeks to come up with a sophisticated operating system.
Evaluating Instructional Technology Resources for 21st Century Teaching Instructional Software The instructional software Joe Rock and Friends Book 2 is selected for third-grade students studying English as a second language for reading and practicing new vocabulary.
Antivirus Software Ensuring Security Online Although deficient and fragmentary, if viewed as a complementary and not principal tool, antivirus software helps ensure one’s security online.
HRM Software for Business and the Affordable Care Act The Affordable Care Act has its strengths, as well as weaknesses. The reason for it is the complexity of the law, which causes different challenges.
Why Open-Source Software Will (Or Will Not) Soon Dominate the Field of Database Management Tools The study aims at establishing whether open-source software will dominate the database field because there has been a changing trend in the business market.
Software Development Project Using Agile Methods The report will discuss the reasons why the agile method was chosen, how the team managed to apply this method, and lessons learned during the big software development project.
Software Engineering and Methodologies This paper describes how the author did learn software engineering and methodologies as a result of his work experience in BTR IT Consulting Company.
Software Development: Creating a Prototype The purpose of the article is to create a prototype software that will be used in the process of helping patients with breast cancer.
Penguin Sleuth, a Forensic Software Tool The key aim of the paper is to analyze the forensic software tools available and, give a detailed description of the functionality range for each software tool or tool pack.
Sakhr Software Co.’s Marketing System The main purpose of this paper is to analyze the peculiarities of the marketing system in such an organization as Sakhr Software Co from Kuwait that specializes in NLP.
System Software: Analysis of Various Types of System Software This paper makes judgments on the different system software, basing on their strengths and weakness, based on the personal experience of the author.
Achieving the Optimal Process. Software Development The software development industry is fast growing as user requirements change-requiring applications that can address these requirements.
Ethical Issues in International Software Development: Software That Is Useful to the User Ethics is important in software development. It will enable the developer to produce software that is useful to the user and the management.
Software Project Management, the Completion of the WBS The result of the PERT led to the formation of the Gantt chart. The present essay serves as a description of the process of working on the project.
Project Management Software and Tools Comparison The software can be used by managers to make sure that no worker is getting a greater workload than others and also that no worker is lagging behind with his or her work.
Health IT: Epic Software Analysis The implementation and adoption of Health IT systems are crucial for the improvement of medical practice, workflow efficiency, and patient outcomes.
Data Scientist and Software Development Data scientists transform data into insight, giving elaborate guidance for users of such information to make informed decisions and take action.
Software Tools for Qualitative Research This paper evaluates software tools for solving complex tasks in the qualitative data analysis process. There is a comparison of NVivo, HyperRESEARCH, and Dedoose.
Compiere Software Capabilities and Its Suitability to Various Industries The ERP software Compiere applies to a wide range of users such as businesses, government agencies, and non-governmental organizations (NGOs).
ERP Software in Inventory Management Inventory management, ERP software will come in handy as the business needs to coordinate the way it receives goods and tidies away the goods.
PeopleSoft Software and HR.net Enterprise Software With effective HRIS software, human resource employees can do their own benefits updates and address changes thus enabling them to have more time to perform other strategic functions.
Neurofeedback Software and Technology Comparison MIDI technology makes the creation, learning, and playing of music easier. Devices like cell phones, music keyboards, personal computers, etc., use MIDI.
CRM Software in Amazon: Gains The customer related management software that Amazon.com has developed was since its launch one of the most advanced technologies.
Managing Information of Sakhr Software Co This paper would consider the concepts of managing information of Sakhr Software, which is a popular language software company.
Marketing System of Sakhr Software Co The primary purpose of this paper is to analyze the marketing system in such an organization as Sakhr Software Co.
Marketing Plan: Innovative Type of Software Product This paper aims to create a marketing plan for the innovative type of software product, which would clarify the potential segment of customers as well as the price point and a communication venue
Distribution of Anti-Virus Software Dozens of new threats are being raised every fortnight. Viruses, hacker attacks and other cyber threats are now becoming a nightmare.
Risk Management Plan for a Task Management Software Plan The current work introduces to us risk identification techniques, quality assurance and control plan, and tells about their importance.
Task Management Software in Organization The purpose of the project management plan is to introduce the framework for integrating task management software into the setting of the selected organization.
New Framework of Software Reliability Measurement Article Critique This report draws on the detailed analysis of software reliability measurement processes with a suggestion of a new groundwork of reliability measurement based on software metrics examined by Amar and Rabai.
Computer Elements: Hardware versus Software Personal computers usually differ from business computers in their capacity and the level of technologies applied in the hardware.
Project Failure, Basics of Project Planning & Alternative Scheduling Software Tools & Techniques From a lack of communication to overall unfavorable work circumstances, projects can fail if managers do not plan into their execution.
Avast Software: Company Analysis Avast Software is a globally recognized multinational company and leader in the area of providing cybersecurity solutions for individual customers and businesses.
Hotjar: Web Analytics Software Difference This paper analyzes Hotjar, a web analytics tool that has a complete set of tools for evaluation. The report addresses its features and benefits, as well as shows how it can support managerial decision-making.
Data Coding in Statistical Software Data coding is of paramount importance if a proper analysis of this data is to be carried out. Data coding plays a critical role when it is needed to use statistical software.
Syntax Code Writing in Statistical Software Conducting an analysis of quantitative data using the IBM SPSS software package often requires performing numerous operations to compute the statistics for the given data.
Split Variables in IBM SPSS Statistical Software The IBM SPSS software provides an option to split a file into groups. The membership of cases in groups is determined by the value of a split variable for that case.
Explore Factors in IBM SPSS Statistical Software The “Explore” command in IBM SPSS produces an output that includes several statistics for one variable either across the whole sample or across the subsets of the sample.
The Various Enterprise Resource Planning Software Packages The purpose of this paper is to discuss the various enterprise resource planning (ERP) software packages that are commonly used by businesses to manage their operations.
JDA Software Company’s Services JDA Software is the company that demonstrates good results in developing services in such fields as manufacturing, retailing, wholesale distribution, and traveling.
Software Testing: Manual and Automated Web-Application Testing Tools This research performs an applied study on the manual and automated web-application testing tools to evaluate the right tool for software testing.
PeopleSoft Inc.’s Software Architecture and Design With the PIA architecture, a company using ERP application could access all its business functions on a web browser.
Applications, Software and System Development The use of Microsoft Office applications greatly enhances productivity in educational matters, at work, and in various everyday activities at home.
Virtualization and Software-Defined Networking The purpose of this paper is to review the trends in the areas of virtualization, software-defined networking, and network security during the past three years.
Software-producing Firm Reducing Inventory The connection between the reduction in inventory and the order quantity is quite obvious. A software-producing firm may consider bringing the number of created software down.
LabVIEW Software: Tools for Measuring Temperature Accurately LabVIEW is software that was developed to design systems of measurement. LabVIEW provides an array of tools for controlling the course of an experiment.
Company’s 15-Year Success Under Max Blue’s Autocratic Leadership The Blue Sky Software Consulting company has recorded great success in a period of fifteen years. Currently, the firm is lesser adapted in the contemporary market.
What Are Essential Attributes of Good Software?
How Computer Software Can Be Used as Tool for Education
Accounting Software and Application Software
Online National Polling Software Requirements Specification
Building Their Software for a Company’s Success
The Role of Antivirus Software Protecting Your Computer Data
Intellectual Property Rights, Innovation and Software Technologies
Software Piracy and the Canadian Piracy Act
Agile Methodologies and the Use of Its Waterscrumfall Derivative for Software Project Development
Improving Underground Mine Access Layouts Using Software Tools
How Software Can Help Support the Changing Role of Academic Librarians
Using the Untangle Software to Deal With Small Business’ Hurdle
How Travel Portal Software Increases Online Booking Sales
Analysis Network Externality and Commercial Software Piracy
Accounting Software and Business Solutions
International Software Piracy: Analysis of Key Issues and Impacts
The Distinction Between Computer Science and Software Engineering
Modulation: Computer Software and Unknown Music Virus
High School Students With Disabilities and Math Software
Keyboarding Software Packages: Analysis and Purchase Recommended
Basic Software Development Life Cycle
Software Patents, Copyright, and Piracy Issues in India
Why Has India Been Able to Build a Thriving Software Industry
Does Social Software Increase Labour Productivity
The Role of Open Source Software for Database Server
Human Capital and the Indian Software Industry
Input-Output Computer Windows Software
Business Software Development and Its Implementation
Evaluating Financial Management Software: Quicken Software
Fighting Software Piracy: Which Governance Tools Matter in Africa
Distinguish Between Proprietary Software and Off-The-Shelf
Does Social Software Support Service Innovation
Ambulatory Revenue Management Software
Difference Between Operating Systems and Application Software
China and India Leading a Global Insurgency Within the Software Industry
Call Accounting Software for Every Enterprise
Technology Standards for the Outsourcing of the Software
The Importance of Agile Approach for Software Development
Application Software: Publisher, Word, and Excel
Employee Monitoring Through Computer Software
Software Development Lifecycle and Testing’s Importance
Fighting Software Piracy: Some Global Conditional Policy Instruments
Software for Designing Solar Water Heating Systems
Open Source Software, Competition, and Potential Entry
Indian Software Industry: Distortions and Consolidations of Gains
Disabled Computer User Software Programs and Assistive Devices
Agile Software Architecture Written by Christine Miyachi
Software Development: The Disadvantages of Agile Methods
Computer Software Technology for Early Childhood
Developing Test Automation Software Development
Indian Software Industry: Growth Patterns, Constraints, and Government Initiatives
How Does Enterprise Software Enable a Business to Use
Integrated Management Software the Processing of Information
Computer Software Training for Doctor’s Office
Intellectual Property Rights for Software and Accessibility to Venture Capitalists
Computer Science Software Specification
Software Projects and Risk Exposure Among Student Software
Why Developing Software for Wireless Devices Is Challenging
Affiliate Tracking Software Your Payment Options
How Can Volkswagen Recover From the Cheating Troubles It Had Due to the Installation of Illegal Software
Principles of Best Forensic Software Tool
The U.S. Software Industry: An Analysis and Interpretative History
How Peripheral Developers Contribute to Open-Source Software Development
Agile Methodologies for Software Development
Key Macroeconomic Factors That Affect Software Industry
The Software Industry and India’s Economic Development
Improving Customer Service Through Help Desk Software
Enterprise Resource Planning and Sap Software
Antivirus Software and Its Importance
Hardware and Software Used in Public Bank
Computer Software Piracy and Its Impact on the International Economy
Using the WinQSB Software in Critical Path Analysis
General Information About Interactive Multimedia-Based Educational Software
Affiliate Tracking Software How It Can Help You
Computer Software and Recent Technologies

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These essay examples and topics on Software were carefully selected by the StudyCorgi editorial team. They meet our highest standards in terms of grammar, punctuation, style, and fact accuracy. Please ensure you properly reference the materials if you’re using them to write your assignment.

This essay topic collection was updated on January 9, 2024 .

Software Engineering Research Ideas

I was honored to be given ACM SIGSOFT’s “Influential Educator” award in 2020, but I was also surprised : as far as I can tell, projects like Beautiful Code , Making Software , The Architecture of Open Source Applications , and It Will Never Work in Theory haven’t actually had any impact on how software engineering is taught.

However, I have been collecting random software engineering research ideas from friends and colleagues for more than a decade. I know it’s a weird hobby, but I’ve always believed that studying things practitioners are actually curious about would lead to more fruitful collaboration between academia and industry. Here, therefore, are the questions I’ve been asked since I started taking notes ten years ago. I apologize for not keeping track of who wanted to know, but if you’re working on any of these, please get in touch and I’ll try to track them down.

Does putting documentation in code (e.g., Python’s docstrings) actually work better than keeping the documentation in separate files, and if so, by what measure(s)?

Do doctest -style tests (i.e., tests embedded directly in the code being tested) have any impact long-term usability or maintainability compared to putting tests in separate files?

Which tasks do developers collaborate on most often and which do they do solo most often? (If I’m reading my handwriting correctly, the questioner hypothesized that programmers routinely do bug triage in groups, but usually write new code alone, with other tasks falling in between.)

Are slideshows written using HTML- or Markdown-based tools more text-intensive than those written in PowerPoint? In particular, are slides written in formats that version control understands (text) less likely to use diagrams than slides written with GUI tools?

A lot of code metrics have been developed over the years; are there any for measuring/ranking the difficulty of getting software installed and configured?

How does the percentage of effort devoted to tooling and deployment change as a project grows and/or ages? And how has it changed as we’ve moved from desktop applications to cloud-based applications? (Note: coming back to full-time coding after a decade away, my impression is that we’ve gone from packaging or building an installer taking 10% of effort to cloud deployment infrastructure being 25-30% of effort, but that’s just one data point.)

Has anyone developed a graphical notation for software development processes like this one for game play ?

How do open source projects actually track and manage requirements or user needs? Do they use issues, is it done through discussion threads on email or chat, do people write wiki pages or PEPs , etc.?

Has anyone ever done a quantitative survey of programming books aimed at professionals (i.e., not textbooks) to find out what people in industry care enough to write about or think others care about?

Has anyone ever done a quantitative survey of the data structures used in undergraduate textbooks for courses that aren’t about data structures? I.e., do we know what data structures students are shown in their “other” courses?

Has anyone ever compared a list of things empirical software engineering research has “proven” (ranked by confidence) versus a list of things programmers believe (similarly ranked)?

Has anyone ever done a quantitative survey of how many claims in the top 100 software development books are backed by citations, and of those, how many are still considered valid?

Are there any metrics for code fitness that take process and team into account? (I actually have the source for this one.)

Which of the techniques catalogued in The Discussion Book are programmers familiar with? Which ones do they use informally (i.e., without explicit tool support), and how do they operationalize them?

Is there a graphical notation like UML to show the problems you’re designing around or the special cases you’ve had to take into account rather than the finished solution to the problem (other than complete UML diagrams of the solutions you didn’t implement)?

Ditto for architectural evolution over time: is there an explicit notation for “here’s how the system has changed”, and if so, can it show multiple changes in a single diagram or is it just stepwise?

Pick an application (e.g., Twitter).
Build a work-alike that is deliberately malicious in some way (e.g., designed to radicalize its users).
Have people selected at random use both and then guess which is which.

Has anyone ever summarized the topics covered by ACM Doctoral Dissertation Award winners to see what computer science is actually about? (A subject is defined by what it gives awards for…)

Has anyone ever surveyed developers to find out what the most boring part of their job is?

Is there data anywhere on speakers’ fees at tech conferences broken down by by age, subject, gender, and geography?

Are programmers with greenery or mini-gardens in the office happier and/or more productive than programmers with foosball tables? What about programmers working from home: does the presence of greenery and/or pets make a difference?

How much do software engineering managers know about organizational behavior and/or social psychology? What mistruths and urban myths do they believe?

Has anyone ever compared how long it takes to reach a workable level of understanding of a software system with and without UML diagrams or other graphical notations? More generally, is there any correlation between the amount or quality of different kinds of developer-oriented documentation and time-to-understanding, and if so, which kinds of documentation fare best?

Is it possible to trace the genealogy of the slide decks used in undergrad software engineering classes (i.e., figure out who is adapting lessons originally written by whom)? If so, how does the material change over time?

How do people physically organize coding lessons when using static site generators? For example, do they keep example programs in the same directory or subdirectory as the slides, or keep the slides in one place and the examples in another? And how do they handle incremental evolution of examples, where the first lesson builds a simple version of X, the next lesson changes some parts but leaves others alone, etc.?

Has anyone ever applied security analysis techniques to emerging models of peer review to (for example) anticipate ways in which different kinds of open review might be gamed?

Has anyone ever written a compare-and-contrast feature analysis of tools for building documentation and tutorials? For example, how do Sphinx , Jekyll , and roxygen stack up?

Käfer et al’s paper comparing text and video tutorials for learning new software tools was interesting: has anyone done a follow-up?

Bjarnason et al’s paper on retrospectives was interesting: has anyone looked in more detail at what developers discuss in retrospectives and (crucially) what impact that has?

Has anyone studied adoption over time of changes (read: fixes) to Git’s interface? For example, how widely is git switch actually now being used? And how do adopters find out about it?

Same questions for adoption of new CSS features.

Is ther any correlation between the length of a project’s README file and how widely that software is used? If so, which drives which: does a more detailed README drive adoption or does adoption spur development of a more detailed README ?

Do any programming languages use one syntax for assigning an initial value to a variable and another syntax for updating that value, and if so, does distinguishing the two cases help? (Note: I think the person asking this question initially assumed that Python’s new := operator could only be used to assign an initial value.)

How, when, and why do people move from one open source project to another? For example, do they tend to move from a project to one of its dependencies or one of the projects that depends on it? And do they tend to keep the same role in the new project or use the switch as an opportunity to change roles?

How often do developers do performance profiling, what do they measure, and how do they measure it?

Has anyone ever created some like Sajaniemi’s roles of variables for refactoring steps or test cases? (Note: the person asking the question is a self-taught programmer who found Gamma et al’s book a bit intimidating, and is looking for beginner-level patterns.)

Has anyone defined a set of design patterns for the roles that columns play in dataframes during a data analysis?

(How) does team size affect the proportion of time spent on planning and the accuracy of plans?

Is there any way to detect altruism in software teams (i.e., how much time developer A spends helping developer B even though B’s problem isn’t officially A’s concern)? If so, is there any correlation between altruism and (for example) staff turnover or the long-term maintainability of the code base?

Is there any correlation between the quality of the error messages in a software system and the quality of the community? (Note: by “quality of the community”, I believe the questioner meant things like “welcoming to newcomers” and “actually enforces its code of conduct”.)

If you collect data from a dozen projects and guess which ones think they’re doing agile and which aren’t, is there anything more than a weak correlation to what process team members tell you they think they’re following? I.e., are different development methodologies distinct rhetorically but not practically?

What are students taught about debugging after their introductory courses? How much of what they’re explicitly taught is domain-specific (e.g., “how to debug a graphics pipeline”)?

Can we assess students’ proficiency with tools by watching screencasts of their work? And can we do it efficiently enough to make it a feasible way to grade how they code (as well as the code they write)?

A lot of people have built computational notebooks based on text formats (like Markdown) or that run in the browser. Has anyone built a computational notebook starting with Microsoft Word or OpenOffice, i.e., embedded runnable code chunks and their output in a rich document?

When people write essay-length explanations about error handling or database internals , how do they decide what’s worth explaining? Is it “I struggled to figure this out and want to save you the pain” or “I’m trying to build my reputation as an expert in this field” or something else?

Has anyone done a study that plots when people get funded on a loose timeline of “building a startup” broken out by founders’ characteristics? I.e., if 0 is “I have an idea” and 100 is fully functioning company, where do most black/brown founders get funded vs. other poc founders vs. white founders?

Has anyone analyzed videos of coding clubs for children or teens to see if girls are treated differently than boys by instructors and by their peers?

How does the distribution of language constructs actually used in large programs vary by language? For example, if we plot percentage of programs that use feature X in a language, ordered by decreasing frequency, how do the curves for different languages compare?

Is it possible to calculate something like a Gini coefficient to see how effectively scientists use computing? If so, is inequality static, decreasing, or increasing? (Note: the questioner felt strongly that the most proficient scientists are getting better at programming but the vast majority haven’t budged in the last three decades, so the gap between “median” and “best” is actually widening.)

If you train a Markov text generator on your software’s documentation, generate some fake man pages, and give users a mix of real and fake pages, can they tell which are which?

How does the number of (active) Slack channels in an organization grow as a function of time or of the number of employees?

How well are software engineering researchers able to summarize each other’s work based solely on the abstracts of their research papers, and how does that compare to researchers in other domains?

Second-line tech support staff often spend a lot of time explaining how things work in general so that they can solve a specific problem. How do they tell how much detail they need to go into?

Is there a notation like CSS selectors for selecting parts of a program to display in tutorials? (Note: I’ve used several systems that relied on specially-formatted comments to slice sections out of programs for display; the questioner was using one of these for the first time and wondering if there was something simpler, more robust, or more general.)

How does the order in which people write code differ from the order in which they explain code in a tutorial and why?

Has anyone built a computational notebook that presents a two-column display with the code on the left and commentary on the right? If so, how does that change what people do or how they do it?

Is it possible to extract entity-relationship diagrams from programs that use Pandas or the tidyverse to show how dataframes are being combined (e.g., to infer foreign key relationships)?

What percentage of time to developers spend debugging and how does that vary by the kind of code they’re working on?

At what point is it more economical to throw away a module and write a replacement instead of refactoring or extending the module to meet new needs?

Are SQL statements written in execution order easier for novices to understand or less likely to be buggy than ones written in standard order? (Note: the questioner was learning SQL after learning to manipulate dataframes with the tidyverse, and found the out-of-order execution of SQL confusing after the in-order execution of tidyverse pipelines.)

What error recovery techniques are used in what languages and applications how often?

What labels do people define for GitHub issues and pull requests, and do they take those labels with them to new projects or re-think each project?

Creating a set of scenarios, each with multiple-choice options.
Having an ethics expert determine the best answer for each.
Then have students and professionals answer the same questions.
Analyzed the results to see how well each group matches the experts’ opinions and whether practitioners are any better than students.

Has anyone ever studied students from the first year to the final year of their program to see what tools they actually start using when. In particular, when (if ever) do they start to use more advanced features of their IDE (e.g., “rename variable in scope”)?

Underrepresented groups often develop “whisper networks” to share essential knowledge (e.g., a young woman joining a company might be taken aside for an off-the-record chat by an older colleague and cautioned about the behavior of certain senior male colleagues). How have these networks changed during the COVID-19 lockdown?

And here are two of my own:

Research Topics & Ideas: CompSci & IT

50+ Computer Science Research Topic Ideas To Fast-Track Your Project

Finding and choosing a strong research topic is the critical first step when it comes to crafting a high-quality dissertation, thesis or research project. If you’ve landed on this post, chances are you’re looking for a computer science-related research topic , but aren’t sure where to start. Here, we’ll explore a variety of CompSci & IT-related research ideas and topic thought-starters, including algorithms, AI, networking, database systems, UX, information security and software engineering.

NB – This is just the start…

The topic ideation and evaluation process has multiple steps . In this post, we’ll kickstart the process by sharing some research topic ideas within the CompSci domain. This is the starting point, but to develop a well-defined research topic, you’ll need to identify a clear and convincing research gap , along with a well-justified plan of action to fill that gap.

If you’re new to the oftentimes perplexing world of research, or if this is your first time undertaking a formal academic research project, be sure to check out our free dissertation mini-course. In it, we cover the process of writing a dissertation or thesis from start to end. Be sure to also sign up for our free webinar that explores how to find a high-quality research topic.

Overview: CompSci Research Topics

Algorithms & data structures
Artificial intelligence ( AI )
Computer networking
Database systems
Human-computer interaction
Information security (IS)
Software engineering
Examples of CompSci dissertation & theses

Topics/Ideas: Algorithms & Data Structures

An analysis of neural network algorithms’ accuracy for processing consumer purchase patterns
A systematic review of the impact of graph algorithms on data analysis and discovery in social media network analysis
An evaluation of machine learning algorithms used for recommender systems in streaming services
A review of approximation algorithm approaches for solving NP-hard problems
An analysis of parallel algorithms for high-performance computing of genomic data
The influence of data structures on optimal algorithm design and performance in Fintech
A Survey of algorithms applied in internet of things (IoT) systems in supply-chain management
A comparison of streaming algorithm performance for the detection of elephant flows
A systematic review and evaluation of machine learning algorithms used in facial pattern recognition
Exploring the performance of a decision tree-based approach for optimizing stock purchase decisions
Assessing the importance of complete and representative training datasets in Agricultural machine learning based decision making.
A Comparison of Deep learning algorithms performance for structured and unstructured datasets with “rare cases”
A systematic review of noise reduction best practices for machine learning algorithms in geoinformatics.
Exploring the feasibility of applying information theory to feature extraction in retail datasets.
Assessing the use case of neural network algorithms for image analysis in biodiversity assessment

Topics & Ideas: Artificial Intelligence (AI)

Applying deep learning algorithms for speech recognition in speech-impaired children
A review of the impact of artificial intelligence on decision-making processes in stock valuation
An evaluation of reinforcement learning algorithms used in the production of video games
An exploration of key developments in natural language processing and how they impacted the evolution of Chabots.
An analysis of the ethical and social implications of artificial intelligence-based automated marking
The influence of large-scale GIS datasets on artificial intelligence and machine learning developments
An examination of the use of artificial intelligence in orthopaedic surgery
The impact of explainable artificial intelligence (XAI) on transparency and trust in supply chain management
An evaluation of the role of artificial intelligence in financial forecasting and risk management in cryptocurrency
A meta-analysis of deep learning algorithm performance in predicting and cyber attacks in schools

Topics & Ideas: Networking

An analysis of the impact of 5G technology on internet penetration in rural Tanzania
Assessing the role of software-defined networking (SDN) in modern cloud-based computing
A critical analysis of network security and privacy concerns associated with Industry 4.0 investment in healthcare.
Exploring the influence of cloud computing on security risks in fintech.
An examination of the use of network function virtualization (NFV) in telecom networks in Southern America
Assessing the impact of edge computing on network architecture and design in IoT-based manufacturing
An evaluation of the challenges and opportunities in 6G wireless network adoption
The role of network congestion control algorithms in improving network performance on streaming platforms
An analysis of network coding-based approaches for data security
Assessing the impact of network topology on network performance and reliability in IoT-based workspaces

Free Webinar: How To Find A Dissertation Research Topic

Topics & Ideas: Database Systems

An analysis of big data management systems and technologies used in B2B marketing
The impact of NoSQL databases on data management and analysis in smart cities
An evaluation of the security and privacy concerns of cloud-based databases in financial organisations
Exploring the role of data warehousing and business intelligence in global consultancies
An analysis of the use of graph databases for data modelling and analysis in recommendation systems
The influence of the Internet of Things (IoT) on database design and management in the retail grocery industry
An examination of the challenges and opportunities of distributed databases in supply chain management
Assessing the impact of data compression algorithms on database performance and scalability in cloud computing
An evaluation of the use of in-memory databases for real-time data processing in patient monitoring
Comparing the effects of database tuning and optimization approaches in improving database performance and efficiency in omnichannel retailing

Topics & Ideas: Human-Computer Interaction

An analysis of the impact of mobile technology on human-computer interaction prevalence in adolescent men
An exploration of how artificial intelligence is changing human-computer interaction patterns in children
An evaluation of the usability and accessibility of web-based systems for CRM in the fast fashion retail sector
Assessing the influence of virtual and augmented reality on consumer purchasing patterns
An examination of the use of gesture-based interfaces in architecture
Exploring the impact of ease of use in wearable technology on geriatric user
Evaluating the ramifications of gamification in the Metaverse
A systematic review of user experience (UX) design advances associated with Augmented Reality
A comparison of natural language processing algorithms automation of customer response Comparing end-user perceptions of natural language processing algorithms for automated customer response
Analysing the impact of voice-based interfaces on purchase practices in the fast food industry

Research Topic Kickstarter - Need Help Finding A Research Topic?

Topics & Ideas: Information Security

A bibliometric review of current trends in cryptography for secure communication
An analysis of secure multi-party computation protocols and their applications in cloud-based computing
An investigation of the security of blockchain technology in patient health record tracking
A comparative study of symmetric and asymmetric encryption algorithms for instant text messaging
A systematic review of secure data storage solutions used for cloud computing in the fintech industry
An analysis of intrusion detection and prevention systems used in the healthcare sector
Assessing security best practices for IoT devices in political offices
An investigation into the role social media played in shifting regulations related to privacy and the protection of personal data
A comparative study of digital signature schemes adoption in property transfers
An assessment of the security of secure wireless communication systems used in tertiary institutions

Topics & Ideas: Software Engineering

A study of agile software development methodologies and their impact on project success in pharmacology
Investigating the impacts of software refactoring techniques and tools in blockchain-based developments
A study of the impact of DevOps practices on software development and delivery in the healthcare sector
An analysis of software architecture patterns and their impact on the maintainability and scalability of cloud-based offerings
A study of the impact of artificial intelligence and machine learning on software engineering practices in the education sector
An investigation of software testing techniques and methodologies for subscription-based offerings
A review of software security practices and techniques for protecting against phishing attacks from social media
An analysis of the impact of cloud computing on the rate of software development and deployment in the manufacturing sector
Exploring the impact of software development outsourcing on project success in multinational contexts
An investigation into the effect of poor software documentation on app success in the retail sector

CompSci & IT Dissertations/Theses

While the ideas we’ve presented above are a decent starting point for finding a CompSci-related research topic, they are fairly generic and non-specific. So, it helps to look at actual dissertations and theses to see how this all comes together.

Below, we’ve included a selection of research projects from various CompSci-related degree programs to help refine your thinking. These are actual dissertations and theses, written as part of Master’s and PhD-level programs, so they can provide some useful insight as to what a research topic looks like in practice.

An array-based optimization framework for query processing and data analytics (Chen, 2021)
Dynamic Object Partitioning and replication for cooperative cache (Asad, 2021)
Embedding constructural documentation in unit tests (Nassif, 2019)
PLASA | Programming Language for Synchronous Agents (Kilaru, 2019)
Healthcare Data Authentication using Deep Neural Network (Sekar, 2020)
Virtual Reality System for Planetary Surface Visualization and Analysis (Quach, 2019)
Artificial neural networks to predict share prices on the Johannesburg stock exchange (Pyon, 2021)
Predicting household poverty with machine learning methods: the case of Malawi (Chinyama, 2022)
Investigating user experience and bias mitigation of the multi-modal retrieval of historical data (Singh, 2021)
Detection of HTTPS malware traffic without decryption (Nyathi, 2022)
Redefining privacy: case study of smart health applications (Al-Zyoud, 2019)
A state-based approach to context modeling and computing (Yue, 2019)
A Novel Cooperative Intrusion Detection System for Mobile Ad Hoc Networks (Solomon, 2019)
HRSB-Tree for Spatio-Temporal Aggregates over Moving Regions (Paduri, 2019)

Looking at these titles, you can probably pick up that the research topics here are quite specific and narrowly-focused , compared to the generic ones presented earlier. This is an important thing to keep in mind as you develop your own research topic. That is to say, to create a top-notch research topic, you must be precise and target a specific context with specific variables of interest . In other words, you need to identify a clear, well-justified research gap.

Fast-Track Your Research Topic

If you’re still feeling a bit unsure about how to find a research topic for your Computer Science dissertation or research project, check out our Topic Kickstarter service.

11 Comments

Investigating the impacts of software refactoring techniques and tools in blockchain-based developments.

Steps on getting this project topic

I want to work with this topic and I need a guide: assessing the impact of Network topology on Network performance and reliability in LoT-based workspace.

I want to work with this topic, am requesting materials to guide.

Information Technology -MSc program

It’s really interesting but how can I have access to the materials to guide me through my work?

That’s my problem also.

Investigating the impacts of software refactoring techniques and tools in blockchain-based developments is in my favour. May i get the proper material about that ?

BLOCKCHAIN TECHNOLOGY

I NEED TOPIC

Database Management Systems

Can you give me a Research title for system

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📚 A curated list of papers for Software Engineers

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Papers for software engineers.

A curated list of papers that may be of interest to Software Engineering students or professionals. See the sources and selection criteria below.

Von Neumann's First Computer Program. Knuth (1970) . Computer History; Early Programming

The Education of a Computer. Hopper (1952) .
Recursive Programming. Dijkstra (1960) .
Programming Considered as a Human Activity. Dijkstra (1965) .
Goto Statement Considered Harmful. Dijkstra (1968) .
Program development by stepwise refinement. Wirth (1971) .
The Humble Programmer. Dijkstra (1972) .
Computer Programming as an Art. Knuth (1974) .
The paradigms of programming. Floyd (1979) .
Literate Programming. Knuth (1984) .

Computing Machinery and Intelligence. Turing (1950) . Early Artificial Intelligence

Some Moral and Technical Consequences of Automation. Wiener (1960) .
Steps towards Artificial Intelligence. Minsky (1960) .
ELIZA—a computer program for the study of natural language communication between man and machine. Weizenbaum (1966) .
A Theory of the Learnable. Valiant (1984) .

A Method for the Construction of Minimum-Redundancy Codes. Huffman (1952) . Information Theory

A Universal Algorithm for Sequential Data Compression. Ziv, Lempel (1977) .
Fifty Years of Shannon Theory. Verdú (1998) .

Engineering a Sort Function. Bentley, McIlroy (1993) . Data Structures; Algorithms

On the Shortest Spanning Subtree of a Graph and the Traveling Salesman Problem. Kruskal (1956) .
A Note on Two Problems in Connexion with Graphs. Dijkstra (1959) .
Quicksort. Hoare (1962) .
Space/Time Trade-offs in Hash Coding with Allowable Errors. Bloom (1970) .
The Ubiquitous B-Tree. Comer (1979) .
Programming pearls: Algorithm design techniques. Bentley (1984) .
Programming pearls: The back of the envelope. Bentley (1984) .
Making data structures persistent. Driscoll et al (1986) .

A Design Methodology for Reliable Software Systems. Liskov (1972) . Software Design

On the Criteria To Be Used in Decomposing Systems into Modules. Parnas (1971) .
Information Distribution Aspects of Design Methodology. Parnas (1972) .
Designing Software for Ease of Extension and Contraction. Parnas (1979) .
Programming as Theory Building. Naur (1985) .
Software Aging. Parnas (1994) .
Towards a Theory of Conceptual Design for Software. Jackson (2015) .

Programming with Abstract Data Types. Liskov, Zilles (1974) . Abstract Data Types; Object-Oriented Programming

The Smalltalk-76 Programming System Design and Implementation. Ingalls (1978) .
A Theory of Type Polymorphism in Programming. Milner (1978) .
On understanding types, data abstraction, and polymorphism. Cardelli, Wegner (1985) .
SELF: The Power of Simplicity. Ungar, Smith (1991) .

Why Functional Programming Matters. Hughes (1990) . Functional Programming

Recursive Functions of Symbolic Expressions and Their Computation by Machine. McCarthy (1960) .
The Semantics of Predicate Logic as a Programming Language. Van Emden, Kowalski (1976) .
Can Programming Be Liberated from the von Neumann Style? Backus (1978) .
The Semantic Elegance of Applicative Languages. Turner (1981) .
The essence of functional programming. Wadler (1992) .
QuickCheck: A Lightweight Tool for Random Testing of Haskell Programs. Claessen, Hughes (2000) .
Church's Thesis and Functional Programming. Turner (2006) .

An Incremental Approach to Compiler Construction. Ghuloum (2006) . Language Design; Compilers

The Next 700 Programming Languages. Landin (1966) .
Programming pearls: little languages. Bentley (1986) .
The Essence of Compiling with Continuations. Flanagan et al (1993) .
A Brief History of Just-In-Time. Aycock (2003) .
LLVM: A Compilation Framework for Lifelong Program Analysis & Transformation. Lattner, Adve (2004) .
A Unified Theory of Garbage Collection. Bacon, Cheng, Rajan (2004) .
A Nanopass Framework for Compiler Education. Sarkar, Waddell, Dybvig (2005) .
Bringing the Web up to Speed with WebAssembly. Haas (2017) .

No Silver Bullet: Essence and Accidents of Software Engineering. Brooks (1987) . Software Engineering; Project Management

How do committees invent? Conway (1968) .
Managing the Development of Large Software Systems. Royce (1970) .
The Mythical Man Month. Brooks (1975) .
On Building Systems That Will Fail. Corbató (1991) .
The Cathedral and the Bazaar. Raymond (1998) .
Out of the Tar Pit. Moseley, Marks (2006) .

Communicating sequential processes. Hoare (1978) . Concurrency

Solution Of a Problem in Concurrent Program Control. Dijkstra (1965) .
Monitors: An operating system structuring concept. Hoare (1974) .
On the Duality of Operating System Structures. Lauer, Needham (1978) .
Software Transactional Memory. Shavit, Touitou (1997) .

The UNIX Time- Sharing System. Ritchie, Thompson (1974) . Operating Systems

An Experimental Time-Sharing System. Corbató, Merwin Daggett, Daley (1962) .
The Structure of the "THE"-Multiprogramming System. Dijkstra (1968) .
The nucleus of a multiprogramming system. Hansen (1970) .
Reflections on Trusting Trust. Thompson (1984) .
The Design and Implementation of a Log-Structured File System. Rosenblum, Ousterhout (1991) .

A Relational Model of Data for Large Shared Data Banks. Codd (1970) . Databases

Granularity of Locks and Degrees of Consistency in a Shared Data Base. Gray et al (1975) .
Access Path Selection in a Relational Database Management System. Selinger et al (1979) .
The Transaction Concept: Virtues and Limitations. Gray (1981) .
The design of POSTGRES. Stonebraker, Rowe (1986) .
Rules of Thumb in Data Engineering. Gray, Shenay (1999) .

A Protocol for Packet Network Intercommunication. Cerf, Kahn (1974) . Networking

Ethernet: Distributed packet switching for local computer networks. Metcalfe, Boggs (1978) .
End-To-End Arguments in System Design. Saltzer, Reed, Clark (1984) .
An algorithm for distributed computation of a Spanning Tree in an Extended LAN. Perlman (1985) .
The Design Philosophy of the DARPA Internet Protocols. Clark (1988) .
TOR: The second generation onion router. Dingledine et al (2004) .
Why the Internet only just works. Handley (2006) .
The Network is Reliable. Bailis, Kingsbury (2014) .

New Directions in Cryptography. Diffie, Hellman (1976) . Cryptography

A Method for Obtaining Digital Signatures and Public-Key Cryptosystems. Rivest, Shamir, Adleman (1978) .
How To Share A Secret. Shamir (1979) .
A Digital Signature Based on a Conventional Encryption Function. Merkle (1987) .
The Salsa20 family of stream ciphers. Bernstein (2007) .

Time, Clocks, and the Ordering of Events in a Distributed System. Lamport (1978) . Distributed Systems

Self-stabilizing systems in spite of distributed control. Dijkstra (1974) .
The Byzantine Generals Problem. Lamport, Shostak, Pease (1982) .
Impossibility of Distributed Consensus With One Faulty Process. Fisher, Lynch, Patterson (1985) .
Implementing Fault-Tolerant Services Using the State Machine Approach: A Tutorial. Schneider (1990) .
Practical Byzantine Fault Tolerance. Castro, Liskov (1999) .
Paxos made simple. Lamport (2001) .
Paxos made live - An Engineering Perspective. Chandra, Griesemer, Redstone (2007) .
In Search of an Understandable Consensus Algorithm. Ongaro, Ousterhout (2014) .

Designing for Usability: Key Principles and What Designers Think. Gould, Lewis (1985) . Human-Computer Interaction; User Interfaces

As We May Think. Bush (1945) .
Man-Computer symbiosis. Licklider (1958) .
Some Thoughts About the Social Implications of Accessible Computing. David, Fano (1965) .
Tutorials for the First-Time Computer User. Al-Awar, Chapanis, Ford (1981) .
The star user interface: an overview. Smith, Irby, Kimball (1982) .
Design Principles for Human-Computer Interfaces. Norman (1983) .
Human-Computer Interaction: Psychology as a Science of Design. Carroll (1997) .

The anatomy of a large-scale hypertextual Web search engine. Brin, Page (1998) . Information Retrieval; World-Wide Web

A Statistical Interpretation of Term Specificity in Retrieval. Spärck Jones (1972) .
World-Wide Web: Information Universe. Berners-Lee et al (1992) .
The PageRank Citation Ranking: Bringing Order to the Web. Page, Brin, Motwani (1998) .

Dynamo, Amazon’s Highly Available Key-value store. DeCandia et al (2007) . Internet Scale Data Systems

The Google File System. Ghemawat, Gobioff, Leung (2003) .
MapReduce: Simplified Data Processing on Large Clusters. Dean, Ghemawat (2004) .
Bigtable: A Distributed Storage System for Structured Data. Chang et al (2006) .
ZooKeeper: wait-free coordination for internet scale systems. Hunt et al (2010) .
The Hadoop Distributed File System. Shvachko et al (2010) .
Kafka: a Distributed Messaging System for Log Processing. Kreps, Narkhede, Rao (2011) .
CAP Twelve Years Later: How the "Rules" Have Changed. Brewer (2012) .
Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases. Verbitski et al (2017) .

On Designing and Deploying Internet Scale Services. Hamilton (2007) . Operations; Reliability; Fault-tolerance

Ironies of Automation. Bainbridge (1983) .
Why do computers stop and what can be done about it? Gray (1985) .
Recovery Oriented Computing (ROC): Motivation, Definition, Techniques, and Case Studies. Patterson et al (2002) .
Crash-Only Software. Candea, Fox (2003) .
Building on Quicksand. Helland, Campbell (2009) .

Thinking Methodically about Performance. Gregg (2012) . Performance

Performance Anti-Patterns. Smaalders (2006) .
Thinking Clearly about Performance. Millsap (2010) .

Bitcoin, A peer-to-peer electronic cash system. Nakamoto (2008) . Decentralized Distributed Systems; Peer-to-peer systems

Operational transformation in real-time group editors: issues, algorithms, and achievements. Sun, Ellis (1998) .
Kademlia: A Peer-to-Peer Information System Based on the XOR Metric. Maymounkov, Mazières (2002) .
Incentives Build Robustness in BitTorrent. Cohen (2003) .
Conflict-free Replicated Data Types. Shapiro et al (2011) .
IPFS - Content Addressed, Versioned, P2P File System. Benet (2014) .
Ethereum: A Next-Generation Smart Contract and Decentralized Application Platform. Buterin (2014) .
Local-First Software: You Own Your Data, in spite of the Cloud. Kleppmann et al (2019) .

A Few Useful Things to Know About Machine Learning. Domingos (2012) . Machine Learning

Statistical Modeling: The Two Cultures. Breiman (2001) .
The Unreasonable Effectiveness of Data. Halevy, Norvig, Pereira (2009) .
ImageNet Classification with Deep Convolutional Neural Networks. Krizhevsky, Sutskever, Hinton (2012) .
Playing Atari with Deep Reinforcement Learning. Mnih et al (2013) .
Generative Adversarial Nets. Goodfellow et al (2014) .
Deep Learning. LeCun, Bengio, Hinton (2015) .
Attention Is All You Need. Vaswani et al (2017) .
Von Neumann's First Computer Program. Knuth (1970) .
Computing Machinery and Intelligence. Turing (1950) .
A Method for the Construction of Minimum-Redundancy Codes. Huffman (1952) .
Engineering a Sort Function. Bentley, McIlroy (1993) .
A Design Methodology for Reliable Software Systems. Liskov (1972) .
Programming with Abstract Data Types. Liskov, Zilles (1974) .
Why Functional Programming Matters. Hughes (1990) .
An Incremental Approach to Compiler Construction. Ghuloum (2006) .
No Silver Bullet: Essence and Accidents of Software Engineering. Brooks (1987) .
Communicating sequential processes. Hoare (1978) .
The UNIX Time- Sharing System. Ritchie, Thompson (1974) .
A Relational Model of Data for Large Shared Data Banks. Codd (1970) .
A Protocol for Packet Network Intercommunication. Cerf, Kahn (1974) .
New Directions in Cryptography. Diffie, Hellman (1976) .
Time, Clocks, and the Ordering of Events in a Distributed System. Lamport (1978) .
Designing for Usability: Key Principles and What Designers Think. Gould, Lewis (1985) .
The anatomy of a large-scale hypertextual Web search engine. Brin, Page (1998) .
Dynamo, Amazon’s Highly Available Key-value store. DeCandia et al (2007) .
On Designing and Deploying Internet Scale Services. Hamilton (2007) .
Thinking Methodically about Performance. Gregg (2012) .
Bitcoin, A peer-to-peer electronic cash system. Nakamoto (2008) .
A Few Useful Things to Know About Machine Learning. Domingos (2012) .

This list was inspired by (and draws from) several books and paper collections:

Papers We Love
Ideas That Created the Future
The Innovators
The morning paper
Distributed systems for fun and profit
Readings in Database Systems (the Red Book)
Fermat's Library
Classics in Human-Computer Interaction
Awesome Compilers
Distributed Consensus Reading List
The Decade of Deep Learning

A few interesting resources about reading papers from Papers We Love and elsewhere:

Should I read papers?
How to Read an Academic Article
How to Read a Paper. Keshav (2007) .
Efficient Reading of Papers in Science and Technology. Hanson (1999) .
On ICSE’s “Most Influential Papers”. Parnas (1995) .

Selection criteria

The idea is not to include every interesting paper that I come across but rather to keep a representative list that's possible to read from start to finish with a similar level of effort as reading a technical book from cover to cover.
I tried to include one paper per each major topic and author. Since in the process I found a lot of noteworthy alternatives, related or follow-up papers and I wanted to keep track of those as well, I included them as sublist items.
The papers shouldn't be too long. For the same reasons as the previous item, I try to avoid papers longer than 20 or 30 pages.
They should be self-contained and readable enough to be approachable by the casual technical reader.
They should be freely available online.
Examples of this are classic works by Von Neumann, Turing and Shannon.
That being said, where possible I preferred the original paper on each subject over modern updates or survey papers.
Similarly, I tended to skip more theoretical papers, those focusing on mathematical foundations for Computer Science, electronic aspects of hardware, etc.
I sorted the list by a mix of relatedness of topics and a vague chronological relevance, such that it makes sense to read it in the suggested order. For example, historical and seminal topics go first, contemporary internet-era developments last, networking precedes distributed systems, etc.

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211 Interesting Engineering Research Paper Topics

The world of engineering is replete with experimentation and discoveries; it’s only a matter of understanding what is required and knowing where to look. Sometimes, college students are at a loss on how to choose the right research topic for their projects, especially when it comes to their area of specialty. This is normal in most cases.

If you’re in university and you’re so confused about how to choose a suitable engineering topic for research papers to work on, then you’re in luck. This entire guide is dedicated to offering you expert quality and professional research paper writing services and writing tips you can’t get anywhere else online.

Genetic Engineering Research Paper Topics

This refers to the process of deliberately altering the genetic composition of an organism. Nowadays, the leaps in genetic engineering have benefited several important aspects, including stem cell research.

Through genetic engineering, several diseases and predisposing factors have been discovered and written out or edited. The fact that such technologies exist, gives enough motivation for many to want to carry out further research on the topic.

Below are some relevant topics for further research that students can use in the field of genetic engineering.

The possibility of recovering and the DNA of extinct animals in the restocking of said species.
Existing genetic theories and explanations which support or disprove certain aspects of human behavior.
The viability of cloning organisms.
The existing relationship between genetic factors and acne susceptibility of individuals.
Genetic explanations and theories supporting or disproving social animal behavior.
The connection between coronary heart disease and genetic interference.
Genetic research and how they have influenced the environment.
How close are we to cloning humans?
The relationship between genetic factors and allergic reactions.
Can congenital deformities be passed down from mother to child?
Genetic explanation for similarities in personalities of twins raised apart.
Genetic explanation for differences in personalities of twins raised apart.
Who funds genetic research?
Factors that contribute to inbreeding depression.
Genetic explanation of genetic variations in the distribution of organisms of the same species.
Current strides in genetic engineering.
Genetic engineering: moral or immoral?
When does genetic engineering cross the line?
Who defines right and wrong in genetics?
The future of genetic coding and editing.

Industrial Engineering Research Paper Topics

This branch of engineering is one that deals specifically in making complex systems, organizations, structures, etc. more efficient by developing and improving upon the pre-existing systems. In industrial engineering, the goal is the improvement and application of researched, factual upgrades to systems when dealing with individuals, finance, information, etc. in order to produce optimized results and functions.

Industrial engineering seeks to improve the methods employed by companies in the implementation of processes in the manufacture and operations of projects.

Research in industrial engineering will help broaden your knowledge of how things are and how they should be to function more efficiently and effectively. To help you get started, here are some research topics you can consider taking a closer look at.

Mining and discovery of data.
The designing, structuring, and execution of experiments.
Strategies employed in manufacturing.
Single-objective optimization.
Poly-objective optimization
Managing a supply chain.
Analytical approach to the management of data.
Experimental designing.
Analysis of variance.
Interaction of dependent and independent variables in our reality.
The algorithm of differential evolution.
Artificial neural networks and their application.
Planning and design concepts in the building of structures.
Layouts and designs of structures.
Systems and analyses of handling industrial materials.
Artificial intelligence.
The influence of computers on driving.
Application of ergonomics in the world of engineering today.
The rise of automation in modern industries.

Research Paper Topics Related To Civil Engineering

One simple way to define civil engineering is that it’s basically all that we can see that has been built around us. It simply refers to an expert branch or discipline of engineering that focuses on making viable, practical arrangements with the plan, development, and maintenance of the physical, visible structures around us.

Civil engineering focuses on specific areas of structural building and maintenance, including public works like streets, waterways, dams, air terminals, sewerage frameworks, pipelines, primary segments of structures, rail routes, and so on.

Civil engineers imagine, plan, create, administer, work, develop and keep up basic interactions and frameworks in the general population and private area, including the roads, structures, airport terminals, burrows, dams, extensions, and frameworks for water supply and sewage treatment.

Below are some more topics you might be interested in, which will help as a student to answer some research paper projects and assignments.

Automation of the operation of machines in industries.
Designing, building, and engineering sturdy structures.
Designing long-lasting buildings and systems.
Materials for innovation.
Systems employed to help in the detection and management of natural disasters.
Elimination and mitigation of industrial and structural hazards.
Analyses of risks and reliability of computational alerts.
Informatics and its application.
Simulations in engineering.
Land surveying.
Designing, engineering, and construction of roads.
Designing, engineering, and construction of buildings.
Engineering and transportation.
Geotechnical and its application in everyday life.
Engineering: its contribution and effects on the environment.
The impact of engineering on the structure and interaction of microorganisms in the soil.
Analyzing and designing residential and industrial structures.
The integration of various designs into construction plans.
The role of civil engineering in the control of environmental pollution.

Research Paper Topics Software Engineering

Software engineering is a branch of engineering that deals with the systemic application of analyses and research findings to the creation and management of software.

In software engineering, the process entails a disciplined, quantifiable approach to the application of said findings in the creation, operation, management, and security of software.

Further research topics and areas yet to be fully explored in software engineering are listed below.

The Internet of Things.
Cybersecurity.
Mining data.
Application of software engineering in the diagnosis and treatment of medical diseases.
Applications of Deep Neural Networking.
Detection and prevention of scams and online frauds.
Hacking: ethical hacking and the blue nowhere.
Benefits of professionalizing esports.
Automating the repairs of machines and industrial structures.
Assessing and testing clones.
The sustainability of ICT in various industries.
Application of ICT in Small and Medium-scale Enterprises.
Artificial intelligence and its contribution to the economy.
Ranking clone codes.
Data analytics.
Prediction and elimination of errors in software engineering.
Debugging in architecture.
Using machine learning to predict and detect defects in software.

Research Paper Topics For Engineering

Without mincing words, engineering is an umbrella term for the discipline which combines mathematics, physics, and physical sciences in the creation, development, and maintenance of technology.

Some areas for further research are listed below.

Systems of electrical power.
Sustainable alternatives and sources of energy.
Material modeling.
The mechanics of damage.
Renewable and non-renewable sources of energy.
Acoustics in engineering.
The engineering of chemical reactions.
Electronic appliances.
Electronics.
Electromagnetism.
The fusion of Information and Communications Technology with multimedia.
Content administration.
Electrical applications of physics.
Fusion of nuclei.
Engineering of light.
Design of advanced systems.
Clean technology and zero-carbon energy.
Hydroelectric engineering.

Research Paper Topics About Electrical Engineering

Electrical engineering refers to the branch of engineering that entails the operational use of technology of electricity and electrical appliances. This division of engineering focuses on the design and application of equipment used in the generation and distribution of power, as well as the control of machines and communications.

There’s a whole new world under the name of electrical engineering, and further research into the field will yield solutions to many world problems. Some of these research topics are listed below.

Harnessing the infinite potentials of solar energy.
Harnessing the infinite potentials of thermal energy.
Designing, engineering, and creating wind generators.
3D printing.
Constructing circuits.
Additive manufacture.
Renewable forms of energy.
Soft robotics.
Conventional robotics.
Medical diagnoses and health monitoring using electrical appliances and engineering.
Design of energy generators.
Management and control of energy.
General applications of vehicular control.
Cloud services.
Smart grids.
Quality of power.
Wireless transfer of energy from a higher source of energy to a machine with low energy.

Research Paper Topics In Automobile Engineering

Automobile engineering is perhaps one of the most practical branches of engineering that can be seen and put to use in everyday life. It involves the study of the creation, design, structure, interaction between component parts, etc. of vehicles and other means of transportation.

Automobile engineering is often restricted to land vehicles and some suitable research topics that may interest you are listed below.

Techniques, procedures, structural designs, and functionality in race cars and Formula 1.
Drones and other unmanned aerial conveyors.
Processes in centrifugal casting.
Shaper machines and their practical examples in everyday life.
Tectonic sources of heat energy.
Conversion of wave energy.
General conversion of energy.
Airbags and their contribution to ensuring the safety of passengers while en route.
Designs, applications, and operations of aerodynamics.
Application of aerodynamics in physics and automobile engineering.
Design, application, functions, and restrictions surrounding robotic systems.
Electric cars, the future of automobiles and driving.
Solar-powered cars.
Brakes and vehicular control.
Solar-powered air conditioning units.
Speed sensors for vehicles in motion.
Steam energy: application, viability, risks associated with it, and how to minimize the risks involved.
Wind energy: production of renewable energy from wind turbines.
Smart cars: artificial intelligence, real-time analyses, and utilization of data by artificial intelligence.

Engineering Ethics Research Paper Topics

Engineering ethics refers to the branch of engineering that addresses ethical issues surrounding the study and pursuit of engineering.

More often than not, engineering, in the quest for globalization and technological advancement, crosses some ethical lines in carrying out its duties. Engineering ethics is there to keep the branches of engineering in check to make sure that the obligations to the public and everyone else are carried out ethically.

Discover new horizons in engineering ethics by studying any of the following research topics.

The history of engineering ethics, and its application through the years.
Circumstances that led to the relevance and development of engineering ethics.
Connections between the scientific, historical and technological in engineering ethics.
Approaches to ethical engineering.
Principles and vast potentials of engineering ethics.
Associations and bodies that monitor and uphold engineering ethics.
Similarities in engineering ethics and ethics in other professions.
Differences between engineering ethics and ethics in other professions.
The engineer’s obligations to the public in general.
Engineering ethics: responsibility and accountability of engineers.
Violation of engineering ethics.
Effects of projects undertaken in engineering on the environment.
Balancing public obligations and development of work projects.
The impacts of globalization on ethical engineering.
Engineering ethics and voluntarism.
Contradictory ethical standpoints in engineering ethics.
The engineer’s societal obligations and ethics in engineering.
Engineering ethics and professional obligations.
How engineering ethics influences profit generation.

Research Paper Topics: Security Engineering

Security engineering is a branch of engineering that deals with the integration of security monitoring and controls in a system, such that the controls are absorbed into the system, and are now seen as parts of the operational abilities of the system.

Above all else, security engineers analyze, supervise and develop technology and technicalities that help organizations in preventing malware from invading their systems, leaks of client information, breaches, etc. associated with cyberterrorism and cybercrime.

Security engineers major in building infallible, resilient software systems that stand tall in the face of malware, defects, errors, etc. It relies on certain tools in the design, implementation, testing, etc. of finished systems, as well as the continuous upgrades in time with environmental changes.

Protection of clients’ data.
Protecting the privacy of users.
Cloud security.
Security policies to protect client data.
Data management and security policies.
Privacy and security on the internet.
Client data and software security.
Security of users while participating in online interactive platforms.
Mobile app security.
The implication of unified user profiles for clients while using the Internet of Things.
Cyberattacks and some ways that corporations can survive them.
Centralizing the system of data storage.
Cybersecurity of online mobile gaming platforms and user data.
Computer security.
Security of software.
Cybersecurity and social engineering.
Effects of automation of operations in security engineering.
The human factor in security engineering.
Combating malware with antiviruses.

Aerospace Engineering Research Paper Topics

Aerospace engineering refers to the branch of engineering that is concerned with making current, factual researches, designing, developing, constructing, conducting tests, technology, dynamics, and applications of spacecraft and airplanes.

Aerospace engineering refers to aerial systems that are operational within the Earth, and in outer space.

The dynamics of unstable gases.
Parallel systems based on ground power unit (GPU).
Laser tools: computation, precision calculations, and implementation from start to finish.
Simulation of turbulence in reactive flows.
Fluid dynamics in aerospace engineering.
The propagation of elastic waves.
Designs for lunar missions.
Detection of faults in composite aerospace locations.
Applications of elastic abrasives.
Management of supply chains.
Functional designs for wind turbines.
Dynamics of fluids and fuels for machines.
Mechanics of solids.
Rocket propulsion.
Missile launching: precision and analyses.
Structures in aerospace.
Micro Aerial Vehicles.
Different fuselage systems.
Structural differences between a forward-swept wing passenger aircraft and a backward-swept wing passenger aircraft.

Chemical Engineering Research Paper Topics

Chemical engineering is another practical branch of engineering. It deals with the planning, designing, as well as operations of processing sites, as well as the interaction between physical, biological, and chemical processes involved in creating economically important technologies.

Some research topics are listed below.

The use of different types of oils in the manufacture of soap.
Replenishing soil nutrients and microorganisms in polluted areas by the use of organic fertilizers.
Degradation of soil and stripping of soil nutrients by industrial waste deposition.
Speeding up the degradation of plastic and reducing pollution.
Petrochemical products and their applications.
The interaction between soil microorganisms and organic fertilizers.
Techniques in separating simple and complex homogeneous liquids.
Techniques in reversing the action of free radicals.
Relationship between elements in the environment.
Molecular biology and the intricate specialization of cells.
Interaction between drugs and the immune system of a living organism.
Heat and heat energy.
Mass production of alternatives to fossil fuels.
Renewable, plant-based sources of energy.
Reclaiming methane as by-products of waste products.
Redox reactions and their applications.
Heat properties of paper.
Designing, producing, and enhancing supercapacitors.
Controlled extraction of plant-based wax from the pods of plants like the Theobroma cacao.
Water pollution and pollutants.

Research in engineering begins with an ideal topic. Backing either of the above up with factual findings is guaranteed to get you top grades.

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Jahns V (2022) Data Fabric and Datafication ACM SIGSOFT Software Engineering Notes 10.1145/3561846.3561854 47 :4 (30-31) Online publication date: 28-Sep-2022 https://dl.acm.org/doi/10.1145/3561846.3561854
Forti S (2022) Trending Topics in Software Engineering (1) ACM SIGSOFT Software Engineering Notes 10.1145/3561846.3561847 47 :4 (6-6) Online publication date: 28-Sep-2022 https://dl.acm.org/doi/10.1145/3561846.3561847

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End-User Software Engineering: Toward a Future Beyond the Silos

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Software Testing Course

Software Engineering Tutorial

Software Development Life Cycle
Waterfall Model

Software Requirements

Software Measurement and Metrics
Software Design Process
System configuration management
Software Maintenance
Software Development Tutorial
Software Testing Tutorial
Product Management Tutorial
Project Management Tutorial
Agile Methodology
Selenium Basics

Software Engineering is a subdomain of Engineering in which you learn to develop, design, test, and maintain software using a systematic and structured approach. Software is a collection of programs. And that programs are developed by software engineers. The code of a program is written in any of various programming languages like C++, Java, Python, Django, etc.

In this Software Engineering Tutorial, you will learn all the basic to advanced concepts, like Software Engineering Models and Architecture, Software development life cycle, software project management, software metrics, software requirements, etc. This software engineering tutorial is best suited for students and aspiring software engineers, providing a deep understanding of many different aspects of software engineering.

To truly excel in this field, it’s essential to not only understand the theoretical aspects but also to gain practical experience in applying these concepts. Engaging with our comprehensive Software Testing course that offers in-depth knowledge and hands-on practice in software engineering can be a game-changer, helping you build robust software solutions with confidence.

Before starting the tutorial, let’s understand what software engineering is.

What is Software Engineering?

Software Engineering is the process of designing, developing, testing, and maintaining software. It is a systematic and disciplined approach to software development that aims to create high-quality, reliable, and maintainable software. Software engineering includes a variety of techniques, tools, and methodologies, including requirements analysis, design, testing, and maintenance.

Software Engineering Introduction

Software Engineering is a systematic, disciplined, quantifiable study and approach to the design, development, operation, and maintenance of a software system. These article help you understand the basics of software engineering. This Introduction part covers the topic like Basics of Software and Software engineering, What is the need of Software Engineering etc.

Introduction to Software Engineering
Introduction to Software Development
Classification of Software
Software Evolution
What is the Need of Software Engineering?
What does a Software Engineer Do?

Software Development Models & Architecture

Software development models are frameworks that guide the process of creating software applications. They provide a structured approach to planning, designing, implementing, testing, and deploying software. Here are some common software development models.

Classical Waterfall Model
Iterative Waterfall Model
Spiral Model
Incremental process model
Rapid application development model(RAD)
RAD Model vs Traditional SDLC
Agile Development Models
Agile Software Development
Extreme Programming (XP)
SDLC V-Model
Comparison of different life cycle models

Software architecture refers to the high-level structure of a software system. It defines the components, their interactions, and the principles guiding their design. Here are some common software architectures:

User Interface Design
Coupling and Cohesion
Information System Life Cycle
Database application system life cycle
Pham-Nordmann-Zhang Model (PNZ model)
Schick-Wolverton software reliability model

Software Project Management(SPM)

Software Project Management (SPM) involves planning, organizing, and controlling software development projects to ensure they are completed on time, within budget, and according to specified quality standards. Here are some articles that gives you a deep understanding of Software Project Management (SPM):

Project Management Process
Project size estimation techniques
COCOMO Model
Capability maturity model (CMM)
Integrating Risk Management in SDLC | Set 1
Integrating Risk Management in SDLC | Set 2
Integrating Risk Management in SDLC | Set 3
Role and Responsibilities of a software Project Manager
Software Project Management Complexities
Quasi renewal processes
Reliability Growth Models
Jelinski Moranda software reliability model
Goel-Okumoto Model
Mills’ Error Seeding Model
Basic fault tolerant software techniques

Software Metrices

Software metrics are quantitative measures used to assess various aspects of software development processes, products, and projects. These metrics provide valuable insights into the quality, performance, and efficiency of software development efforts. Here are some common software metrics:

People Metrics and Process Metrics in Software Engineering
Halstead’s Software Metrics
Cyclomatic Complexity
Functional Point (FP) Analysis – Software Engineering
Lines of Code (LOC) in Software Engineering

Software requirements are descriptions of the features, functions, capabilities, and constraints that a software system must possess to meet the needs of its users and stakeholders. They serve as the foundation for software development, guiding the design, implementation, and testing phases of the project. These articles break down software requirements into easy-to-understand concepts

Requirements Engineering Process
Classification of Software Requirements
How to write a good SRS for your Project
Quality Characteristics of a good SRS
Requirements Elicitation
Challenges in eliciting requirements

Software Configuration

Software configuration refers to the process of managing and controlling changes to software systems, components, and related artifacts throughout the software development lifecycle. Here are some articles that helps you in exploring the knowledge of Software Configuration:

Software Configuration Management
Objectives of Software Configuration Management
Software Quality Assurance
Project Monitoring & Control
Software Quality

Software quality refers to the degree to which a software product meets specified requirements and satisfies customer expectations, ensuring it is reliable, efficient, maintainable, and user-friendly. These article provide in depth explanation of Software Quality:

ISO 9000 Certification

Software Design

Software design involves creating a blueprint or plan for how a software system will be structured and organized to meet its requirements effectively and efficiently. These articles gives you a clear explanation about Software Design.

Software Design process – Set 2
Software Design Principles
Function Oriented Design
Object Oriented Design
Software Reliability

Software reliability refers to the ability of a software system to consistently perform its intended functions under specified conditions for a defined period of time, without failures or errors that may disrupt its operation. Here are some articles that help to understand various concepts regarding software reliability.

Software Fault Tolerance

Software Testing and Debugging

Software testing and debugging are integral parts of the software development lifecycle, aimed at ensuring the quality and reliability of software products. Here are some articles that help to understand various concepts regarding software testing and debugging.

Seven Principles of software testing
Testing Guidelines
Black box testing
White box Testing
Selenium: An Automation tool
Integration Testing

Software maintenance refers to the process of updating, modifying, and enhancing software to ensure its continued effectiveness, efficiency, and relevance over time. Here are some articles that help to understand various concepts regarding software maintenance.

Cost and efforts of software maintenance

Difference Between

Understanding the differences between software engineering concepts provides clarity on their unique strengths and weaknesses, empowering individuals to make informed decisions about which concept is best suited for specific purposes or projects. This knowledge enables effective selection, implementation, and optimization of software engineering practices to achieve desired outcomes efficiently.

Waterfall model vs Incremental model
v-model vs waterfall model
Manual testing vs Automation testing
Sanity Testing vs Smoke Testing
Cohesion vs Coupling
Alpha Testing vs Beta Testing
Testing and Debugging
Functional vs Non-functional Testing
Waterfall Model vs Spiral Model
RAD vs Waterfall
Unit Testing vs System Testing
Load Testing vs Stress Testing
Frontend Testing vs Backend Testing
Agile Model vs V-Model
Software Engineering Interview Questions
Software Engineering Quiz
SDLC MCQ Questions
Risk Management MCQ Questions
Software Development Models MCQ Questions and Answers
Software Quality Assurance Quiz

Recent Articles on Software Engineering

Faqs on software engineering, what are the various categories of software.

System software (e.g. Operating systems, compiler, drivers, etc.) Web and Network software (e.g. Gmail, Google Drive, Facebook, etc.) Embedded Software: (e.g. washing machines, satellites, microwaves, TVs, etc.) Artificial intelligence software (Expert Systems, pattern recognition software, artificial neural networks, etc.) Scientific software (e.g. MATLAB, AUTOCAD, etc.)

What are different Software Development Lifecycle Models?

Waterfall model Spiral model Incremental model Agile model Iterative model

What is Software prototyping?

A software prototype is a working model with less functionality. The logic of the prototype may or may not match with the final software program. It is only available for a limited number of users to get their feedback.

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Metric-centered and technology-independent architectural views for software comprehension

The maintenance of applications is a crucial activity in the software industry. The high cost of this process is due to the effort invested on software comprehension since, in most of cases, there is no up-to-...

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Back to the future: origins and directions of the “Agile Manifesto” – views of the originators

In 2001, seventeen professionals set up the manifesto for agile software development. They wanted to define values and basic principles for better software development. On top of being brought into focus, the ...

Investigating the effectiveness of peer code review in distributed software development based on objective and subjective data

Code review is a potential means of improving software quality. To be effective, it depends on different factors, and many have been investigated in the literature to identify the scenarios in which it adds qu...

On the benefits and challenges of using kanban in software engineering: a structured synthesis study

Kanban is increasingly being used in diverse software organizations. There is extensive research regarding its benefits and challenges in Software Engineering, reported in both primary and secondary studies. H...

Challenges on applying genetic improvement in JavaScript using a high-performance computer

Genetic Improvement is an area of Search Based Software Engineering that aims to apply evolutionary computing operators to the software source code to improve it according to one or more quality metrics. This ...

Actor’s social complexity: a proposal for managing the iStar model

Complex systems are inherent to modern society, in which individuals, organizations, and computational elements relate with each other to achieve a predefined purpose, which transcends individual goals. In thi...

Investigating measures for applying statistical process control in software organizations

The growing interest in improving software processes has led organizations to aim for high maturity, where statistical process control (SPC) is required. SPC makes it possible to analyze process behavior, pred...

An approach for applying Test-Driven Development (TDD) in the development of randomized algorithms

TDD is a technique traditionally applied in applications with deterministic algorithms, in which the input and the expected result are known. However, the application of TDD with randomized algorithms have bee...

Supporting governance of mobile application developers from mining and analyzing technical questions in stack overflow

There is a need to improve the direct communication between large organizations that maintain mobile platforms (e.g. Apple, Google, and Microsoft) and third-party developers to solve technical questions that e...

Working software over comprehensive documentation – Rationales of agile teams for artefacts usage

Agile software development (ASD) promotes working software over comprehensive documentation. Still, recent research has shown agile teams to use quite a number of artefacts. Whereas some artefacts may be adopt...

Development as a journey: factors supporting the adoption and use of software frameworks

From the point of view of the software framework owner, attracting new and supporting existing application developers is crucial for the long-term success of the framework. This mixed-methods study explores th...

Applying user-centered techniques to analyze and design a mobile application

Techniques that help in understanding and designing user needs are increasingly being used in Software Engineering to improve the acceptance of applications. Among these techniques we can cite personas, scenar...

A measurement model to analyze the effect of agile enterprise architecture on geographically distributed agile development

Efficient and effective communication (active communication) among stakeholders is thought to be central to agile development. However, in geographically distributed agile development (GDAD) environments, it c...

A survey of search-based refactoring for software maintenance

This survey reviews published materials related to the specific area of Search-Based Software Engineering that concerns software maintenance and, in particular, refactoring. The survey aims to give a comprehen...

Guest editorial foreword for the special issue on automated software testing: trends and evidence

Similarity testing for role-based access control systems.

Access control systems demand rigorous verification and validation approaches, otherwise, they can end up with security breaches. Finite state machines based testing has been successfully applied to RBAC syste...

An algorithm for combinatorial interaction testing: definitions and rigorous evaluations

Combinatorial Interaction Testing (CIT) approaches have drawn attention of the software testing community to generate sets of smaller, efficient, and effective test cases where they have been successful in det...

How diverse is your team? Investigating gender and nationality diversity in GitHub teams

Building an effective team of developers is a complex task faced by both software companies and open source communities. The problem of forming a “dream”

Investigating factors that affect the human perception on god class detection: an analysis based on a family of four controlled experiments

Evaluation of design problems in object oriented systems, which we call code smells, is mostly a human-based task. Several studies have investigated the impact of code smells in practice. Studies focusing on h...

On the evaluation of code smells and detection tools

Code smells refer to any symptom in the source code of a program that possibly indicates a deeper problem, hindering software maintenance and evolution. Detection of code smells is challenging for developers a...

On the influence of program constructs on bug localization effectiveness

Software projects often reach hundreds or thousands of files. Therefore, manually searching for code elements that should be changed to fix a failure is a difficult task. Static bug localization techniques pro...

DyeVC: an approach for monitoring and visualizing distributed repositories

Software development using distributed version control systems has become more frequent recently. Such systems bring more flexibility, but also greater complexity to manage and monitor multiple existing reposi...

A genetic algorithm based framework for software effort prediction

Several prediction models have been proposed in the literature using different techniques obtaining different results in different contexts. The need for accurate effort predictions for projects is one of the ...

Elaboration of software requirements documents by means of patterns instantiation

Studies show that problems associated with the requirements specifications are widely recognized for affecting software quality and impacting effectiveness of its development process. The reuse of knowledge ob...

ArchReco: a software tool to assist software design based on context aware recommendations of design patterns

This work describes the design, development and evaluation of a software Prototype, named ArchReco, an educational tool that employs two types of Context-aware Recommendations of Design Patterns, to support us...

On multi-language software development, cross-language links and accompanying tools: a survey of professional software developers

Non-trivial software systems are written using multiple (programming) languages, which are connected by cross-language links. The existence of such links may lead to various problems during software developmen...

SoftCoDeR approach: promoting Software Engineering Academia-Industry partnership using CMD, DSR and ESE

The Academia-Industry partnership has been increasingly encouraged in the software development field. The main focus of the initiatives is driven by the collaborative work where the scientific research work me...

Issues on developing interoperable cloud applications: definitions, concepts, approaches, requirements, characteristics and evaluation models

Among research opportunities in software engineering for cloud computing model, interoperability stands out. We found that the dynamic nature of cloud technologies and the battle for market domination make clo...

Game development software engineering process life cycle: a systematic review

Software game is a kind of application that is used not only for entertainment, but also for serious purposes that can be applicable to different domains such as education, business, and health care. Multidisc...

Correlating automatic static analysis and mutation testing: towards incremental strategies

Traditionally, mutation testing is used as test set generation and/or test evaluation criteria once it is considered a good fault model. This paper uses mutation testing for evaluating an automated static anal...

A multi-objective test data generation approach for mutation testing of feature models

Mutation approaches have been recently applied for feature testing of Software Product Lines (SPLs). The idea is to select products, associated to mutation operators that describe possible faults in the Featur...

An extended global software engineering taxonomy

In Global Software Engineering (GSE), the need for a common terminology and knowledge classification has been identified to facilitate the sharing and combination of knowledge by GSE researchers and practition...

A systematic process for obtaining the behavior of context-sensitive systems

Context-sensitive systems use contextual information in order to adapt to the user’s current needs or requirements failure. Therefore, they need to dynamically adapt their behavior. It is of paramount importan...

Distinguishing extended finite state machine configurations using predicate abstraction

Extended Finite State Machines (EFSMs) provide a powerful model for the derivation of functional tests for software systems and protocols. Many EFSM based testing problems, such as mutation testing, fault diag...

Extending statecharts to model system interactions

Statecharts are diagrams comprised of visual elements that can improve the modeling of reactive system behaviors. They extend conventional state diagrams with the notions of hierarchy, concurrency and communic...

On the relationship of code-anomaly agglomerations and architectural problems

Several projects have been discontinued in the history of the software industry due to the presence of software architecture problems. The identification of such problems in source code is often required in re...

An approach based on feature models and quality criteria for adapting component-based systems

Feature modeling has been widely used in domain engineering for the development and configuration of software product lines. A feature model represents the set of possible products or configurations to apply i...

Patch rejection in Firefox: negative reviews, backouts, and issue reopening

Writing patches to fix bugs or implement new features is an important software development task, as it contributes to raise the quality of a software system. Not all patches are accepted in the first attempt, ...

Investigating probabilistic sampling approaches for large-scale surveys in software engineering

Establishing representative samples for Software Engineering surveys is still considered a challenge. Specialized literature often presents limitations on interpreting surveys’ results, mainly due to the use o...

Characterising the state of the practice in software testing through a TMMi-based process

The software testing phase, despite its importance, is usually compromised by the lack of planning and resources in industry. This can risk the quality of the derived products. The identification of mandatory ...

Self-adaptation by coordination-targeted reconfigurations

A software system is self-adaptive when it is able to dynamically and autonomously respond to changes detected either in its internal components or in its deployment environment. This response is expected to ensu...

Templates for textual use cases of software product lines: results from a systematic mapping study and a controlled experiment

Use case templates can be used to describe functional requirements of a Software Product Line. However, to the best of our knowledge, no efforts have been made to collect and summarize these existing templates...

F3T: a tool to support the F3 approach on the development and reuse of frameworks

Frameworks are used to enhance the quality of applications and the productivity of the development process, since applications may be designed and implemented by reusing framework classes. However, frameworks ...

NextBug: a Bugzilla extension for recommending similar bugs

Due to the characteristics of the maintenance process followed in open source systems, developers are usually overwhelmed with a great amount of bugs. For instance, in 2012, approximately 7,600 bugs/month were...

Assessing the benefits of search-based approaches when designing self-adaptive systems: a controlled experiment

The well-orchestrated use of distilled experience, domain-specific knowledge, and well-informed trade-off decisions is imperative if we are to design effective architectures for complex software-intensive syst...

Revealing influence of model structure and test case profile on the prioritization of test cases in the context of model-based testing

Test case prioritization techniques aim at defining an order of test cases that favor the achievement of a goal during test execution, such as revealing failures as earlier as possible. A number of techniques ...

A metrics suite for JUnit test code: a multiple case study on open source software

The code of JUnit test cases is commonly used to characterize software testing effort. Different metrics have been proposed in literature to measure various perspectives of the size of JUnit test cases. Unfort...

Designing fault-tolerant SOA based on design diversity

Over recent years, software developers have been evaluating the benefits of both Service-Oriented Architecture (SOA) and software fault tolerance techniques based on design diversity. This is achieved by creat...

Method-level code clone detection through LWH (Light Weight Hybrid) approach

Many researchers have investigated different techniques to automatically detect duplicate code in programs exceeding thousand lines of code. These techniques have limitations in finding either the structural o...

The problem of conceptualization in god class detection: agreement, strategies and decision drivers

The concept of code smells is widespread in Software Engineering. Despite the empirical studies addressing the topic, the set of context-dependent issues that impacts the human perception of what is a code sme...

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Research Topics in Software Engineering

This seminar is an opportunity to become familiar with current research in software engineering and more generally with the methods and challenges of scientific research.

Each student will be asked to study some papers from the recent software engineering literature and review them. This is an exercise in critical review and analysis. Active participation is required (a presentation of a paper as well as participation in discussions).

The aim of this seminar is to introduce students to recent research results in the area of programming languages and software engineering. To accomplish that, students will study and present research papers in the area as well as participate in paper discussions. The papers will span topics in both theory and practice, including papers on program verification, program analysis, testing, programming language design, and development tools.

Date	Title	Presenter
15 Sep	Introduction to the seminar	Samuel Steffen
6 Oct		Philippe Voinov
6 Oct		Michel Weber
13 Oct		Lorenz Hetzel
13 Oct		Christian Ulmann
20 Oct		Anqi Li
20 Oct		Teodor Ionescu
27 Oct		Ting-Yu Chen
27 Oct		Pascal Maillard
3 Nov		Ruben Fischer
3 Nov		Janis Peyer
10 Nov		Andrei Herasimau
10 Nov		Minesh Patel
17 Nov		Jonas Hansen
17 Nov		Cedric Ettlin
24 Nov		Dimitri Wessels
24 Nov		Niharika Singh

Current Trends in Software Engineering Research

Conference: 3rd International Conference on Emerging Trends in Scientific Research
At: PEAL INTERNATIONAL HOTEL, KUALA LUMPUR, MALAYSIA

Asia Pacific University of Technology and Innovation

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COMMENTS

111 Software Engineering Essay Topic Ideas & Examples
To help you get started, here are 111 software engineering essay topic ideas and examples: The impact of artificial intelligence on software engineering. The role of ethics in software development. Best practices for software testing. The importance of cybersecurity in software engineering.
49 Software Engineering Essay Topic Ideas & Examples
Looking for a good essay, research or speech topic on Software Engineering? Check our list of 49 interesting Software Engineering title ideas to write about! IvyPanda® Free Essays. Clear. Free Essays; Study Hub. ... Get your 100% original paper on any topic done in as little as 1 hour. Learn More .
Top 10 Software Engineer Research Topics for 2024
List of Software Engineer Research Topics in 2024. Here is a list of Software Engineer research topics: Artificial Intelligence and Software Engineering. Natural Language Processing. Applications of Data Mining in Software Engineering. Data Modeling. Verification and Validation. Software Project Management.
150 Best Research Paper Topics For Software Engineering
18-10-2022. 131. 255. 14. Ask us on What's App. 150 Best Research Paper Topics For Software Engineering. Software Engineering is a branch which deals with the creation and improvement of software applications using specific methodologies and clearly defined scientific principles. When developing software products, certain procedures must be ...
Software Engineer Research Paper Topics 2021: Top 5
Thus, to help you land on the best topic for your needs, we have listed the top 5 software engineer research paper topics in the next sections. Machine Learning. Machine learning is one of the most used research topics of software engineers. If you're not yet familiar with this, it's a field that revolves around producing programs that ...
188 Software Essay Topics & Research Titles at StudyCorgi
The purpose of this paper is to review the trends in the areas of virtualization, software-defined networking, and network security during the past three years. Software-producing Firm Reducing Inventory. The connection between the reduction in inventory and the order quantity is quite obvious.
Software Engineering's Top Topics, Trends, and Researchers
For this theme issue on the 50th anniversary of software engineering (SE), Redirections offers an overview of the twists, turns, and numerous redirections seen over the years in the SE research literature. Nearly a dozen topics have dominated the past few decades of SE research—and these have been redirected many times. Some are gaining popularity, whereas others are becoming increasingly ...
The Third Bit · Software Engineering Research Ideas
Software Engineering Research Ideas. I was honored to be given ACM SIGSOFT's "Influential Educator" award in 2020, but I was also surprised : as far as I can tell, projects like Beautiful Code , Making Software , The Architecture of Open Source Applications , and It Will Never Work in Theory haven't actually had any impact on how ...
Computer Science Research Topics (+ Free Webinar)
If you've landed on this post, chances are you're looking for a computer science-related research topic, but aren't sure where to start. Here, we'll explore a variety of CompSci & IT-related research ideas and topic thought-starters, including algorithms, AI, networking, database systems, UX, information security and software ...
Software Engineering Essays (Examples)
Software Engineering: What Makes it un IBM and the Institute of Electrical and Electronic Engineers (IEEE) have collaborated to create the Software Engineering Online Learning Center, a portal of educational and industry information that is very useful for any student of computer science, programming or software engineering. The intent of this paper is to evaluate this portal for its ...
Papers for Software Engineers
A curated list of papers that may be of interest to Software Engineering students or professionals. See the sources and selection criteria below. List of papers by topic. Von Neumann's First Computer Program. Knuth (1970). Computer History; Early Programming. The Education of a Computer. Hopper (1952). Recursive Programming.
211 Engineering Research Paper Topics For College Students
Using machine learning to predict and detect defects in software. Research Paper Topics For Engineering. Without mincing words, engineering is an umbrella term for the discipline which combines mathematics, physics, and physical sciences in the creation, development, and maintenance of technology. Some areas for further research are listed below.
(PDF) Software Engineering Research Topics
5) Software Testing. 6) Software Measurement. 7) Software Product Lines. 8) Software Architecture. 9) software verification. 10) software business. 11) Software Refactoring. 12) software design ...
Trending Topics in Software Engineering
Abstract. Software Engineering (SE) is evolving to make the best out of the constantly changing technological trends, ranging from development to deployment to management and decommissioning of software systems. In this new column Trending Topics in Software Engineering, we aim at providing insights, reports, and outlooks on how researchers and ...
PDF Writing Good Software Engineering Research Papers
Software engineering, however, has not yet developed this sort of well-understood guidance. I previously [19, 20] discussed early steps toward such understanding, including a model of the way software engineering techniques mature [17, 18] and critiques of the lack of rigor in experimental software engineering [1, 22, 23, 24, 25].
Software Engineering Tutorial
Software Engineering is a subdomain of Engineering in which you learn to develop, design, test, and maintain software using a systematic and structured approach. Software is a collection of programs. And that programs are developed by software engineers. The code of a program is written in any of various programming languages like C++, Java ...
Journal of Software Engineering Research and Development
The problem of forming a "dream". Marco Ortu, Giuseppe Destefanis, Steve Counsell, Stephen Swift, Roberto Tonelli and Michele Marchesi. Journal of Software Engineering Research and Development 2017 5:9. Research Published on: 20 December 2017.
Research Topics in Software Engineering
Overview. This seminar is an opportunity to become familiar with current research in software engineering and more generally with the methods and challenges of scientific research. Each student will be asked to study some papers from the recent software engineering literature and review them. This is an exercise in critical review and analysis.
What are the Current research topics in the area of Software
Follow my 1-4 steps to gain a good knowledge on your research interest. (1) Go to scholar.google.com. (2) Search your topic related articles. (3) Download some articles. (4) Read each article for ...
Software engineering
Research Paper On Software Engineering. 1.1 INTRODUCTION Software engineering is a field of Computer science, for designing and writing programs for computers or other electronic devices. A software engineer writes software or changes existing software and compiles software using methods that make it better quality.
(PDF) Current Trends in Software Engineering Research
The new trends in software engineering research topics resolves under the research field of Cloud Computing, Big Data, Android Computing, Network Security and Software Engineering Project Management.
Software Engineering
This paper provides a definition of the term "software engineering" and a survey of the current state of the art and likely future trends in the field. The survey covers the technology available in the various phases of the software life cycle—requirements engineering, design, coding, test, and maintenance—and in the overall area of software management and integrated technology-management ...