"Enhancing Software Reliability and Efficiency through AI-Driven Testing Methodologies"

Abstract

Software testing is a critical phase in the software development lifecycle, ensuring the delivery of high-quality, reliable, and secure applications. Traditional testing methodologies, while effective, often face challenges such as time constraints, high costs, and the inability to handle complex and dynamic software environments. Artificial Intelligence (AI) has emerged as a transformative technology in software testing, offering innovative solutions to automate, optimize, and enhance various testing processes. This research article explores the integration of AI in software testing, examining its benefits, underlying techniques, applications, challenges, and future directions. Through an analysis of current trends and case studies, the paper highlights how AI-driven testing approaches are revolutionizing the software quality assurance landscape, enabling organizations to achieve greater efficiency, accuracy, and scalability in their testing endeavour’s.