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Efficient Regression Tests for Database Applications

Summary: Highlights why generic unit-test frameworks (e.g., JUnit) fail for database applications—core problem: tests mutate persistent DB state. Proposes efficient techniques to isolate, restore, and manage database state to enable automated, repeatable regression testing. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
h797f4d567c3a01b7
Venue
CIDR
Year
2005
Pagerank
5.6621228e-05
Overall Rank
6,859 | 53.89%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{haftmann_cidr05,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '05},
        title = {{Efficient Regression Tests for Database Applications}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Haftmann, Florian and Kossmann, Donald and Kreutz, Alexander},
        year = {2005}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
7,638 Test Data Generation for Complex SQL Queries 2026 SIGMOD 5.4772833e-05
8,191 Testing Database Applications 2006 SIGMOD 5.3810352e-05
12,786 A Framework for Testing Query Transformation Rules 2009 SIGMOD 4.9793485e-05
13,048 Parallel Execution of Test Runs for Database Application Systems 2005 VLDB 4.9793485e-05
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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
383 Massive Stochastic Testing of SQL 1998 VLDB 0.00019484034
908 Meaningful Change Detection in Structured Data 1997 SIGMOD 0.00013157386
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