An AI-Enabled Framework for Software Process Optimization in Small Software Firms

Authors

  • Meeravali Shaik, Piyush Kumar Pareek

Keywords:

software process optimization; small software firms; Green-AI; CI/CD; test case prioritization; defect prediction; effort estimation; policy-as-code

Abstract

Small software firms (SSFs) operate with lean budgets, heterogeneous stacks, and tightdelivery timelines—yet they face the same expectations for quality, speed, and sustainabilityas larger organizations. This paper proposes

References

R. Schwartz, J. Dodge, N. A. Smith, and O. Etzioni, “Green AI,” Communications of the ACM, vol. 63, no. 12, pp. 54–63, 2020. (ACM Digital Library)

R. Pan, M. Bagherzadeh, T. A. Ghaleb, and L. Briand, “Test Case Selection and Prioritization Using Machine Learning: A Systematic Literature Review,” Empirical Software Engineering, 2022. (Orbilu)

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Published

2024-09-20

How to Cite

Meeravali Shaik, Piyush Kumar Pareek. (2024). An AI-Enabled Framework for Software Process Optimization in Small Software Firms. Journal of Computational Analysis and Applications (JoCAAA), 33(05), 2905–2910. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/3752

Issue

Vol. 33 No. 05 (2024): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.