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cs.SE2026
BRQGen: Towards Adaptive Completeness Assessment and Follow-Up Question Generation for Bug Reports
Tevfik Emre Sungur, Akif Emre Köşüş, Uğurcan Doğruçam +1
Many bug reports lack the necessary information required to reproduce issues. In early studies, large language models have been employed to generate follow-up questions to enhance…
cs.SE2026
Automated Root-Cause Subclassification and No-Code Fix Generation for Invalid Bug Reports
Mahmut Furkan Gon, Emre Dinc, Tevfik Emre Sungur +1
Issues faced when using software are reported in the form of bug reports. However, many bug reports are invalid, meaning they do not require code changes, and are resolved with a n…