Leveraging AI for Bug Detection and Resolution in Software Testing
Aarti Sanjay Gawai · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT · 2025
It primarily demonstrates the importance of combining artificial intelligence with the field of software testing in terms of decreased administrative burden and effective outcomes to raise the caliber of software products. The biggest challenge in today's software development environment has unavoidably remained the need for efficiency and quality in the delivery of all software engineering artifacts. While the industry follows complex software engineering protocols, the market expects new releases nearly every day. To address evolving market demands, various Artificial Intelligence (AI) techniques have been developed and are now extensively applied within the modern software engineering industry. Our main goals are to identify factors that affect the performance of current software bug detection and determine the efficacy of AI techniques in enhancing those techniques. According to the evidence the software testing field has made use of artificial intelligence methods and tools to simplify the challenging tasks of software bug detection and bug fixing. Key Words: Bug, AI-Powered, Detection, Resolution, Software Testing, Test Cases, test automation.