Forward Looking Perspective: AI shaping the Future of Software Testing

Abstract

In recent years, the adoption of Artificial Intelligence (AI) in software development has experienced substantial growth and importance. Traditionally software testing has been a labor - intensive and error prone process and often forced by the limitations of human testers and conventional tools. However as technologies grow rapidly the applications of AI technologies including deep learning, machine learning, natural language processing is set to reshape the future of software testing. This paper explores the forward looking perspective of AI in software testing which examines challenges in traditional testing techniques and finds different key areas of software testing such as test automation ,test case generation , bug prediction, fault localization, security testing ,performance testing, code review with their novel technologies in AI. Through this exploration aim is to provide insights into future AI powered software testing which face to address challenges of integrating AI technologies with software testing.