Yet Another Trace-Based Approach for the Cause of Software Regressions in JavaScript and Python

Addressing the cause of software regressions is an important but difficult task, and has not been well studied. Current tools have some limitations, such as low detection accuracy. In this paper, we try to address these limitations and improve the accuracy of locating causes of software regressions by proposing three new techniques. Our techniques are based on tracing source code changes during program execution. Moreover, we extend current benchmark to a new programming language, and compare our techniques against existing techniques on the extended benchmark. Our new techniques outperform existing techniques in accurately locating the root cause of software regressions. Specifically, our LLMpowered technique achieves the state-of-the-art accuracy.