Automated Software Testing Using Generative AI for Continuous Integration Pipelines
Keywords:
Automated Testing, Generative AI,, Continuous Integration, Software Quality, Devops, Intelligent TestingAbstract
Automated software testing has become a critical component of modern continuous integration pipelines as enterprises strive to deliver reliable software at high velocity. Traditional test automation approaches often struggle to keep pace with frequent code changes, evolving requirements, and complex system dependencies. In the current technological context, generative artificial intelligence offers new capabilities for automatically creating, maintaining, and optimizing test artifacts throughout the software lifecycle. This paper examines the role of generative AI in automating software testing within continuous integration environments. It discusses architectural models, testing workflows, performance implications, and practical benefits for enterprise-scale software development. The study highlights how generative AI enhances test coverage, reduces manual effort, and improves pipeline reliability.
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Copyright (c) 2026 Michael Jack, Jerold Xavier (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
