Re Imagining the 4P Framework in Graduate Software Engineering Education: From Project to Product Mindset for Software Process Improvement

The persistent gap between graduate capabilities and contemporary software engineering practice continues to challenge academia and industry despite decades of curricular reform. Traditional models of software engineering education often emphasize plan-driven processes, narrow technical skills, and project-centric thinking that do not fully align with agile, product-centric, and cross-functional modes of real-world software development. This paper proposes an updated interpretation of the classic 4P framework (People, Product, Process, Project) for graduate software engineering education that emphasizes cross-functional team skills, contemporary product design, agile and continuous process models, and a shift from project- to product-oriented thinking. Building on prior work on software process improvement (SPI) in graduate curricula and industry-linked project-based learning, we develop a conceptual curriculum framework and theoretically examine its potential to enhance graduate readiness and support software process improvement outcomes.
The study is guided by three research questions: (1) How can the 4P framework be adapted to better reflect current industrial practices in software engineering? (2) To what extent does an updated 4P framework address known gaps in graduate readiness for cross-functional, agile, and product-centric environments? (3) How can such a framework be operationalized in a graduate curriculum to support software process improvement competencies? From these questions, we derive hypotheses about the relationships between the updated 4P elements and graduate readiness for SPI-oriented roles. The paper adopts a conceptual and design-oriented research approach synthesizing literature on SPI in graduate education, cross-functional collaboration, and product versus project mindsets. We present a structured curriculum model aligned to the updated 4P framework and articulate expected learning outcomes, graduate capabilities, and SPI-aligned competencies. The paper concludes with recommendations for implementation, implications for educators and industry, and directions for empirical validation of the proposed framework.

Software Engineering Education, Software Process Improvement, 4P, Project to Product Mindset, SPI-aligned competencies

1. Alenezi, M. (2025). A framework to evaluate software engineering program using SWEBOK v4. TEM Journal, 14(1), 1–12. https://doi.org/10.18421/TEM141-01 [Google Scholar] [Crossref]

2. Alenezi, M., & Qureshi, M. R. J. (2025). A framework to evaluate software engineering program using SWEBOK v4. TEM Journal, 14(1), 1–12. https://doi.org/10.18421/TEM141-01 [Google Scholar] [Crossref]

3. Laporte, C. Y., & O’Connor, R. V. (2016). Software process improvement in industry in a graduate software engineering curriculum. In R. V. O’Connor, A. Mitasiūnas, R. V. Messnarz, & A. Kaindl (Eds.), Systems, software and services process improvement (pp. 1–12). Springer. https://doi.org/10.1007/978-3-319-30264-8_1 [Google Scholar] [Crossref]

4. Laporte, C. Y., & O’Connor, R. V. (2015). Software process improvement in graduate software engineering programs. In R. V. O’Connor, A. Mitasiūnas, R. V. Messnarz, & A. Kaindl (Eds.), Systems, software and services process improvement (pp. 1–12). Springer. https://doi.org/10.1007/978-3-319-24647-8_1 [Google Scholar] [Crossref]

5. Mecs Press. (Publisher). (2021). [Google Scholar] [Crossref]

6. Razali, R., & Hashim, N. L. (2021). A conceptual framework for software engineering education: Project based learning approach integrated with industry collaboration. International Journal of Engineering and Manufacturing (IJEME), 11(5), 56–68. https://doi.org/10.5815/ijeme.2021.05.05 [Google Scholar] [Crossref]

7. NIX United. (2023, April 5). Cross-functional teams in software development: Roles, responsibilities & examples. https://nix-united.com/blog/cross-functional-teams-in-software-development-principles-and-examples/ [Google Scholar] [Crossref]

8. Net Solutions. (2026, February 1). Product mindset over project mindset: Benefits and roadmap. https://www.netsolutions.com/insights/product-mindset-vs-project-mindset/ [Google Scholar] [Crossref]

9. Nguyen-Duc, A., Cruzes, D. S., & Abrahamsson, P. (2021). The development and validation of a framework for software engineering education in a startup context. IEEE Global Engineering Education Conference (EDUCON), 170–177. https://doi.org/10.1109/EDUCON46332.2021.9453997 [Google Scholar] [Crossref]

10. TechTarget. (2025, May 27). Product vs. project mindset in software development. https://www.techtarget.com/searchsoftwarequality/feature/Compare-a-product-vs-project-mindset-for-software-development [Google Scholar] [Crossref]

11. Vajpai, J., & Magda, M. (2023, June 24). A novel interdepartmental approach to teach cross-functional collaboration in software engineering. In Proceedings of the 2023 ASEE Annual Conference & Exposition. American Society for Engineering Education. https://peer.asee.org/a-novel-interdepartmental-approach-to-teach-cross-functional-collaboration-in-software-engineering [Google Scholar] [Crossref]

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