Artificial Intelligence in Software Testing
Subash Banala, Sudheer Panyaram, P. Selvakumar · Advances in computational intelligence and robotics book series · 2025
AI which is reshaping the landscape of quality assurance (QA) by enhancing efficiency, accuracy, and coverage. Traditionally, software testing has relied heavily on manual and semi-automated processes, often leading to time-consuming and error-prone tasks. AI introduces a new paradigm in software testing, offering advanced methodologies and tools that significantly improve the effectiveness and efficiency of QA practices. Additionally, AI enhances test maintenance and evolution. Traditional test suites require manual updates as software evolves, which can be labor-intensive and prone to oversight. AI-powered tools can automatically adjust test cases and scripts to accommodate changes in the software, reducing the manual effort required to maintain and update tests. By leveraging AI to detect changes in the software and adjust tests accordingly, organizations can ensure that their test suites remain relevant and effective throughout the development lifecycle.Another significant advancement brought about by AI is the optimization of test execution.