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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
34
Venue
CIDR
Year
2005
Pagerank
4.9507254e-05
Overall Rank
6,717 | 53.28%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
7,464 Testing Database Applications 2006 SIGMOD 4.722995e-05
10,118 Test Data Generation for Complex SQL Queries 2026 SIGMOD 4.1945683e-05
12,302 A Framework for Testing Query Transformation Rules 2009 SIGMOD 4.1945683e-05
12,565 Parallel Execution of Test Runs for Database Application Systems 2005 VLDB 4.1945683e-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
406 Massive Stochastic Testing of SQL 1998 VLDB 0.00024053686
728 Meaningful Change Detection in Structured Data 1997 SIGMOD 0.00017494982
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