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Research Paper | Computer Science and Information Technology | United States of America | Volume 8 Issue 10, October 2019 | Rating: 4.7 / 10
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
Edition: Volume 8 Issue 10, October 2019,
Pages: 1872 - 1875