AI in software testing uses machine learning, natural language processing, and data analysis to automate testing, improve accuracy, and quickly identify issues. It helps predict potential problems before they happen, reducing manual effort and ensuring better software quality. As AI learns from past test results, it adapts to software changes, making testing more efficient and …