QFix: Demonstrating Error Diagnosis in Query Histories
Summary: QFix is a query-centric error-diagnosis framework that infers faulty queries to explain and repair data discrepancies, not patch data directly. The demo benchmarks transactional data, injects query errors, and compares QFix to decision-tree baselines. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Xiaolan Wang
- 2. Alexandra Meliou
- 3. Eugene Wu
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 214 | Scorpion: Explaining Away Outliers in Aggregate Queries | 2013 | VLDB | 0.0003363692 |
| 340 | OLTP-Bench: An Extensible Testbed for Benchmarking Relational Databases | 2014 | VLDB | 0.00026841628 |
| 2,379 | A Revival of Integrity Constraints for Data Cleaning | 2008 | VLDB | 8.9392633e-05 |
| 3,105 | Data X-Ray: A Diagnostic Tool for Data Errors | 2015 | SIGMOD | 7.5568954e-05 |
| 5,445 | QFix: Diagnosing Errors through Query Histories | 2017 | SIGMOD | 5.5020909e-05 |
| 6,621 | We Challenge You to Certify Your Updates | 2011 | SIGMOD | 4.9905794e-05 |
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