Software Engineering Project
A Software Engineering Project is a technology project that is an engineering project (to create or enhance software systems through engineering processes).
- AKA: Structured Software Engineering Endeavor, Formal Software Engineering Initiative.
- Context:
- It can typically enforce Engineering Standards through formal processes.
- It can typically apply Engineering Principles through systematic approaches.
- It can typically require Engineering Documentation through technical specifications.
- It can (typically) be delivered by a Software Development Project Team.
- It can (typically) involve stages such as requirements analysis, system design, software development, testing, and maintenance.
- It can (often) require project management skills and methodologies, such as Agile or Waterfall, to ensure successful completion.
- It can (often) involve Project Stakeholders, such as: software developers, project managers, end-users, and software clients.
- It can (often) utilize tools and technologies like version control systems, integrated development environments (IDEs), and software testing tools.
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- It can range from being a Small Software Engineering Project to being a Large Software Engineering Project.
- It can range from being a Simple Software Engineering Project to being a Complex Software Engineering Project, depending on its engineering scope.
- It can range from being a Basic Engineering Implementation to being a Critical System Engineering Project, depending on its engineering rigor.
- It can range from being a Single Domain Engineering Project to being a Multi Domain Engineering Project, depending on its engineering scope.
- It can range from being a Research Software Engineering Project to being a Production Software Engineering Project, depending on its project purpose.
- It can range from being a Component Software Engineering Project to being a System Software Engineering Project, depending on its system scale.
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- It can include Software Development Projects for software implementation.
- It can manage Software Architecture Projects for system design.
- It can oversee Software Testing Projects for quality assurance.
- It can coordinate Software Integration Projects for system integration.
- It can direct Software Deployment Projects for system deployment.
- It can supervise Software Maintenance Projects for system maintenance.
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- Example(s):
- Software Implementation Engineering Projects (for software system implementations), such as:
- Software Development Projects (for software developments), such as:
- Software Architecture Projects (for software architectures), such as:
- Software Testing Projects (for software testings), such as:
- Software Integration Projects (for software integrations), such as:
- Software Deployment Projects (for software deployments), such as:
- Software Maintenance Projects (for software maintenances), such as:
- Mission Critical Software Engineering Projects (for mission critical systems), such as:
- Medical Software Engineering Projects (for medical systems), such as:
- Transportation Software Engineering Projects (for transportation systems), such as:
- Industrial Software Engineering Projects (for industrial systems), such as:
- Manufacturing Software Engineering Projects (for manufacturing systems), such as:
- Quality Software Engineering Projects (for quality systems), such as:
- Research Software Engineering Projects (for research systems), such as:
- Laboratory Software Engineering Projects (for laboratory systems), such as:
- Simulation Software Engineering Projects (for simulation systems), such as:
- Enterprise Software Engineering Projects (for enterprise systems), such as:
- Infrastructure Software Engineering Projects (for infrastructure systems), such as:
- Integration Software Engineering Projects (for integration systems), such as:
- AI Software Engineering Projects (for AI software systems), such as:
- Open Source Software Engineering Projects (for open source systems), such as:
- Enterprise Software Engineering Projects (for enterprise systems), such as:
- Integration Software Engineering Projects (for integration systems), such as:
- Protocol Software Engineering Projects (for protocol systems), such as:
- MCP Server Software Engineering Projects (for MCP server systems), such as:
- API Gateway Software Engineering Projects (for API gateway systems), such as:
- Protocol Software Engineering Projects (for protocol systems), such as:
- Platform Software Engineering Projects (for platform systems), such as:
- Framework Software Engineering Projects (for framework systems), such as:
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- Software Implementation Engineering Projects (for software system implementations), such as:
- Counter-Example(s):
- A Rapid Software Development Project, which prioritizes speed over engineering rigor.
- A Prototype Software Project, which focuses on quick validation rather than engineering standards.
- A Construction Project, which involves physical infrastructure.
- A Construction Project involving physical infrastructure.
- A Marketing Campaign focused on advertising and promotion.
- See: Project, Project Management Triangle, Software Development Life Cycle.
References
2020
- (Akgün, 2020) ⇒ Ali E. Akgün. (2020). “Team Wisdom in Software Development Projects and Its Impact on Project Performance.” International Journal of Information Management, 50.
- ABSTRACT: While the concept of wisdom, which refers to how people make right use of their knowledge through their practical actions, judgments, and ethical decisions, in general attracts researcher interest in a variety of disciplines, such as philosophy, psychology and management studies, little is known about how wisdom is conceptualized and then operationalized in the software development project team context. Based on the frameworks for philosophical, group and organizational wisdom, this paper identifies software development project team wisdom as a process for how team members best use the stock and flow of their knowledge through collective judgment, virtue-ethics, emotions/feelings, and effective decision-making during their project-related efforts. Adapting the efforts and functional similarities of both group and organizational wisdom practices, this effort determines that wisdom-related mechanisms (e.g., team diversity, networking with other teams and people, and their past experiences), joint epistemic actions (e.g., team reasoning, intuition, and aesthetic capacity), and team virtue and prudence become the different faces of the software development team wisdom process. We then propose how these different faces interrelate and how they also relate to project process effectiveness, such as team learning and speed-to-users, both of which have been rarely addressed empirically in the context of software development project teamwork.
By examining 210 in-house software development project teams in a field study and using structural equation modeling analysis, our results empirically show the following: (a) software development wisdom-related mechanisms positively relate to software development team prudence and virtue and their joint epistemic actions, (b) software development team prudence and virtue are positively associated with software development team joint epistemic actions, and further (d) software development team joint epistemic actions are positively associated with software development project process effectiveness. We conclude by discussing our findings as they relate to the wisdom framework of software development project teams and suggest the key managerial implications for different types of software development projects.
- ABSTRACT: While the concept of wisdom, which refers to how people make right use of their knowledge through their practical actions, judgments, and ethical decisions, in general attracts researcher interest in a variety of disciplines, such as philosophy, psychology and management studies, little is known about how wisdom is conceptualized and then operationalized in the software development project team context. Based on the frameworks for philosophical, group and organizational wisdom, this paper identifies software development project team wisdom as a process for how team members best use the stock and flow of their knowledge through collective judgment, virtue-ethics, emotions/feelings, and effective decision-making during their project-related efforts. Adapting the efforts and functional similarities of both group and organizational wisdom practices, this effort determines that wisdom-related mechanisms (e.g., team diversity, networking with other teams and people, and their past experiences), joint epistemic actions (e.g., team reasoning, intuition, and aesthetic capacity), and team virtue and prudence become the different faces of the software development team wisdom process. We then propose how these different faces interrelate and how they also relate to project process effectiveness, such as team learning and speed-to-users, both of which have been rarely addressed empirically in the context of software development project teamwork.
2016
- (Abdelrafe et al., 2016) ⇒ Elzamly Abdelrafe, Burairah Hussin, and Norhaziah Salleh. (2016). “Top Fifty Software Risk Factors and the Best Thirty Risk Management Techniques in Software Development Lifecycle for Successful Software Projects.” International Journal of Hybrid Information Technology 9, no. 6
- QUOTE: … the values, principles and practices for modelling software in SDLC as well as used to identify and maintain a clear and correct understanding of the software development project being built [19], [20]. Furthermore, it don‟t contain any risk management techniques because it is …
1987
- (Bullard et al., 1988) ⇒ Catherine L. Bullard, Inez Caldwell, James Harrell, Cis Hinkle, and A. Jefferson Offutt. (1988). “Anatomy of a Software Engineering Project.” In: Proceedings of the nineteenth SIGCSE technical symposium on Computer science education, pp. 129-133.
- ABSTRACT: This paper discusses a complete software development project carried out in a one quarter undergraduate software engineering course. The project was the design and implementation of a complete system by 25 students. They worked in smaller groups on four functionally separate subsystems that were successfully integrated into a complete system. This was accomplished by using five advanced students to manage the groups, real users to criticize each step of the process, and UNIX tools to implement the subsystems. This paper describes the project, presents the methodologies used, and discusses both the positive and negative aspects of this course. It concludes by presenting a set of recommendations based on our experience with this project.