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Automated Database Testing via LLM-Synthesized SQL Features
Summary: ShQveL expands differential SQL testing by using LLMs to fill SQL sketches, integrating synthesized features into existing generators. Across five DBMSs, it found 55 previously unknown bugs, 50 fixed after reporting.
(summarized by gpt-6-luna on Oct 22 2026)
Paper ID
h5fcada3710f45112
Venue
SIGMOD
Year
2027
Pagerank
4.9605343e-05
Overall Rank
10,382 | 30.41%
DOI
10.1145/3837097
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(CC BY 4.0)
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@inproceedings{zhong_sigmod27,
title = {{Automated Database Testing via LLM-Synthesized SQL Features}},
author = {Zhong, Suyang and Rigger, Manuel},
series = {{SIGMOD} '27},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3837097},
url = {https://dl.acm.org/doi/10.1145/3837097},
year = {2027}
}
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Showing 18 of 18 cited papers.
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