The Impact of Artificial Intelligence and Machine Learning on Software Testing
The Impact of Artificial Intelligence and Machine Learning on Software Testing Introduction: In recent years, the adoption of Artificial Intelligence (AI) and Machine Learning (ML) has significantly impacted various industries, and software testing is no exception. The traditional manual testing approaches that were once the norm are now being complemented and, in some cases, replaced by AI and ML-powered testing solutions. This transformation has ushered in a new era of efficiency, accuracy, and scalability in software testing. In this post, we will explore the ways AI and ML have revolutionized software testing and their implications for the future of quality assurance in the software development lifecycle. Test Automation and Efficiency: AI and ML have spearheaded the growth of test automation, enabling testing teams to automate repetitive and mundane tasks. AI-powered testing tools can learn from historical test data, identify patterns, and automatically generate test script...