AI RESEARCH
Past, Present, and Future of Bug Tracking in the Generative AI Era
arXiv CS.AI
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ArXi:2510.08005v3 Announce Type: replace-cross Traditional bug-tracking systems rely heavily on manual reporting, reproduction, classification, and resolution, involving multiple stakeholders such as end users, customer, developers, and testers. This division of responsibilities requires substantial coordination and human effort, widens the communication gap between non-technical users and developers, and significantly slows the process from bug discovery to deployment.