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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)

Paper ID
5222
Venue
SIGMOD
Year
2016
Pagerank
5.093636e-05
Overall Rank
12,038 | 17.41%
DOI
10.1145/2882903.2899388

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Authors

BibTeX Citation

@inproceedings{wang_sigmod16,
        title = {{QFix: Demonstrating Error Diagnosis in Query Histories}},
        author = {Wang, Xiaolan and Meliou, Alexandra and Wu, Eugene},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2899388},
        url = {https://dl.acm.org/doi/10.1145/2882903.2899388},
        year = {2016}
}

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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
191 Scorpion: Explaining Away Outliers in Aggregate Queries 2013 VLDB 0.00026096009
226 OLTP-Bench: An Extensible Testbed for Benchmarking Relational Databases 2014 VLDB 0.00024027277
2,365 A Revival of Integrity Constraints for Data Cleaning 2008 VLDB 8.6867205e-05
2,759 Data X-Ray: A Diagnostic Tool for Data Errors 2015 SIGMOD 8.1577506e-05
4,959 QFix: Diagnosing Errors through Query Histories 2017 SIGMOD 6.4283324e-05
7,073 We Challenge You to Certify Your Updates 2011 SIGMOD 5.7101384e-05
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