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Automating the Detection of Snapshot Isolation Anomalies

Summary: Automates SI-anomaly detection and correction by analyzing application code or SQL traces, mechanically identifying safe program modifications while reducing false positives. A DBMS-independent tool validated on production applications uncovered real-world anomalies. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
9727
Venue
VLDB
Year
2007
Pagerank
9.2495387e-05
Overall Rank
2,057 | 85.89%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{jorwekar_vldb07,
        title = {{Automating the Detection of Snapshot Isolation Anomalies}},
        author = {Jorwekar, Sudhir and Fekete, Alan and Ramamritham, Krithi and Sudarshan, S.},
        journal = {PVLDB},
        series = {{VLDB} '07},
        pages = {1263--1274},
        year = {2007}
}

Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank Cited Paper Year Venue Pagerank
19 A Critique of ANSI SQL Isolation Levels 1995 SIGMOD 0.00058720861
2,646 Allocating Isolation Levels to Transactions 2005 PODS 8.2970356e-05
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