Improving Software Testing and Validation with Machine Learning and Automation

Vamsi Thatikonda

Abstract: Software testing and validation are critical to ensuring software quality, yet they remain largely manual processes. Recent advances in machine learning and automation present new opportunities to improve the efficiency and effectiveness of software testing. This paper provides a review of research from 2021 onward that explores applications of machine learning and intelligent automation to software testing tasks such as test case generation, test oracle creation, test result analysis, and test report generation. Challenges and future directions in this emerging field are also discussed.

Keywords: Software Testing, Validation, Machine Learning, Automation