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)
Incoming Non-self Citations Over Time
Authors
- 1. Sudhir Jorwekar (Indian Institute of Technology Mumbai)
- 2. Alan Fekete (University of Sydney)
- 3. Krithi Ramamritham (Indian Institute of Technology Mumbai)
- 4. S. Sudarshan (Indian Institute of Technology Mumbai)
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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