AI-Driven Test Case Generation for Continuous Integration of Software Development

Dr. V Subrahmanyam, Dr M. V. Siva Prasad

Abstract: Continuous Integration (CI) has become a cornerstone of modern software development, ensuring rapid feedback on code changes and enhancing software quality. However, traditional test case generation in CI pipelines remains manual, time-consuming, and prone to human error. Artificial Intelligence (AI) offers a transformative approach by automating test case generation, optimizing coverage, and adapting to evolving software requirements. This paper explores AI-driven test case generation techniques, their integration into CI workflows, and the resulting impact on efficiency, reliability, and software quality. We present a framework that leverages AI models to analyse code changes, historical defect patterns, and execution results to automatically generate, prioritize, and evolve test cases. Experimental results highlight improved defect detection rates and reduced testing overhead in CI environments.

Keywords: Artificial Intelligence (AI), Continuous Integration (CI), Test Case Generation, Automated Software Testing, Machine Learning in DevOps, Software Quality Assurance, Regression Testing, Sustainable Software Engineering

How to Cite?: Dr. V Subrahmanyam, Dr M. V. Siva Prasad, "AI-Driven Test Case Generation for Continuous Integration of Software Development", Volume 14 Issue 9, September 2025, International Journal of Science and Research (IJSR), Pages: 711-713, https://www.ijsr.net/getabstract.php?paperid=SR25916082410, DOI: https://dx.doi.org/10.21275/SR25916082410