Transforming Test Automation - The Role of Machine Learning

Narendar Kumar Ale

Abstract: In the rapidly evolving field of software development, the need for efficient and effective testing methods is paramount. Traditional test automation has been a cornerstone in achieving reliable software delivery, but it is not without its limitations. Enter machine learning (ML) - a technology poised to revolutionize test automation by making it smarter, faster, and more adaptive. This paper explores the integration of ML in test automation, presenting a framework for its implementation and evaluating its impact through experimental results.

Keywords: Test Automation, Machine Learning, Software Testing, Predictive Test Selection, Anomaly Detection, Software Development, Software Quality