Application of Large Language Models for Enhancing Bug Reporting Activities

Software testing is a vital phase of the Software Development Life Cycle, ensuring system quality, reliability, and requirement compliance. Central to this process is defect management, which involves systematic identification, classification, and resolution of software defects. A welldefined defect management strategy enhances product quality and team efficiency. This paper presents a structured model inspired by CMMI and TMMi standards, combining comprehensive defect reports and an extended bug status workflow. Despite its strengths, some challenges emerged when in was applied - redundant fields, fragmented responsibilities, and lack of visibility - and highlighted the limitations of traditional bug report systems. To address these gaps, the paper explores the integration of Large Language Models into the bug reporting lifecycle. A review of recent research highlights Large Language Models' potential to automate bug triaging, generate concise summaries, assist in test case creation for defect reproduction, support automated fixing, predict severity levels, and enhance bug taxonomy classification. Large Language Models can reduce manual effort, improve communication, and ensure more consistent handling of the defect data.