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)
Incoming Non-self Citations Over Time
Authors
- 1. Xiu Tang
- 2. Sai Wu
- 3. Dongxiang Zhang
- 4. Ziyue Wang
- 5. Gongsheng Yuan
- 6. Gang Chen
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,037 | Keep It Simple: Testing Databases via Differential Query Plans | 2024 | SIGMOD | 5.7434825e-05 |
| 10,568 | QOVIS: Understanding and Diagnosing Query Optimizer via a Visualization-assisted Approach | 2025 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,650 | Detecting Logic Bugs of Join Optimizations in DBMS | 2023 | SIGMOD | 8.3708191e-05 |
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