AI and Machine Learning in Test Automation: Techniques, Challenges, and Future Prospects
Abstract: AI and Machine Learning (ML) are transforming test automation by enabling predictive analysis, intelligent test case generation, and self - healing tests. This paper explores the various techniques used in AI/ML - powered test automation, identifies the challenges faced in its implementation, and discusses the future prospects of this technology in enhancing software testing efficiency.
Keywords: AI, Machine Learning, Test Automation, Predictive Analysis, Self - healing Tests
How to Cite?: Narendar Kumar Ale, "AI and Machine Learning in Test Automation: Techniques, Challenges, and Future Prospects", Volume 12 Issue 12, December 2023, International Journal of Science and Research (IJSR), Pages: 2130-2131, https://www.ijsr.net/getabstract.php?paperid=SR24717103320, DOI: https://dx.doi.org/10.21275/SR24717103320