Authors : Neha Sah

Volume/Issue : Volume 10 - 2025, Issue 3 - March

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DOI : https://doi.org/10.38124/ijisrt/25mar1963

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Abstract : This research paper explores the transformative role of Artificial Intelligence (AI) and Machine Learning (ML) in the field of software testing automation. By examining key advancements in test case generation, defect detection, regression testing, and test optimization, this study highlights how AI-driven approaches enhance the efficiency, accuracy, and coverage of automated software testing. Furthermore, the paper addresses the challenges associated with implementing AI/ML in testing workflows, such as data dependency, explainability, and ethical considerations. The findings emphasize the importance of integrating AI and ML in QA practices to ensure adaptive and intelligent testing solutions.

Keywords : Software Testing, Test Automation, Artificial Intelligence, Machine Learning, Test Case Generation, Defect Detection, Regression Testing.

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