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A Demonstration of DLBD: Database Logic Bug Detection System

Summary: DLBD is an automated, distributed system for holistic DBMS logic-bug detection that generates schemas and multi-table queries and retrieves ground-truth results—moving beyond prior single-table tools. Provides minimal repro cases, root-cause analysis, heuristic pruning and deduplication to avoid repetitive exploration and scale testing across engines. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13415
Venue
VLDB
Year
2023
Pagerank
5.4161786e-05
Overall Rank
8,482 | 41.81%
DOI
10.14778/3611540.3611584

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{tang_vldb23,
        title = {{A Demonstration of DLBD: Database Logic Bug Detection System}},
        author = {Tang, Xiu and Wu, Sai and Zhang, Dongxiang and Wang, Ziyue and Yuan, Gongsheng and Chen, Gang},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {12},
        pages = {3914--3917},
        doi = {10.14778/3611540.3611584},
        url = {https://doi.org/10.14778/3611540.3611584},
        year = {2023}
}

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
2,044 Detecting Logic Bugs of Join Optimizations in DBMS 2023 SIGMOD 9.2663577e-05
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