Transforming Test Automation - The Role of Machine Learning
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
How to Cite?: Narendar Kumar Ale, "Transforming Test Automation - The Role of Machine Learning", Volume 8 Issue 10, October 2019, International Journal of Science and Research (IJSR), Pages: 1872-1875, https://www.ijsr.net/getabstract.php?paperid=SR24615033013, DOI: https://dx.doi.org/10.21275/SR24615033013