DBugScribe: Automatic Database Bug Reproduction from Community Reports
Summary: DBugScribe automatically converts natural-language DBMS bug reports into validated, executable multi-dimensional reproduction scenarios. Its semantic DSL and LLM/rule-based self-refining synthesis achieves 72.9% reproduction on 218 MySQL, TiDB, and MariaDB reports, while building a reusable bug knowledge base. (summarized by gpt-5.6-luna on Jul 26 2026)
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Authors
- 1. Suyang Zhong (National University of Singapore)
- 2. Mo Sha (Alibaba)
- 3. Sheng Wang (Alibaba)
- 4. Fangyuan Zhou (Alibaba)
- 5. Feifei Li (Alibaba)
- 6. Kian-Lee Tan (National University of Singapore)
BibTeX Citation
@inproceedings{zhong_sigmod26,
title = {{DBugScribe: Automatic Database Bug Reproduction from Community Reports}},
author = {Zhong, Suyang and Sha, Mo and Wang, Sheng and Zhou, Fangyuan and Li, Feifei and Tan, Kian-Lee},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3802034},
url = {https://dl.acm.org/doi/10.1145/3802034},
year = {2026}
}
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