AI-Driven Test Case Generation for Continuous Integration of software development.

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.