Bug-Report-Driven Fault Localization: Industrial Benchmarking and Lesson Learned at ABB Robotics

ArXi:2604.25700v1 Announce Type: cross Software quality assurance remains a major challenge in industrial environments, where large-scale and long-lived systems inevitably accumulate defects. Identifying the location of a fault is often time-consuming and costly, particularly during maintenance phases when developers must rely primarily on textual bug reports rather than complete runtime or code-level context. In this study, we investigated if artificial intelligence can fault localization using only the natural-language content of bug reports.