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A genetic approach for random testing of database systems

Summary: A feedback-guided genetic SQL generator evolves queries toward targeted DBMS components and rare code paths, avoiding contradictory tests that short-circuit execution. Experiments on SQL Server show higher testing efficiency and code coverage than conventional random generation. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
9725
Venue
VLDB
Year
2007
Pagerank
6.8945321e-05
Overall Rank
4,111 | 71.80%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{bati_vldb07,
        title = {{A genetic approach for random testing of database systems}},
        author = {Bati, Hardik and Giakoumakis, Leo and Herbert, Steve and Surna, Aleksandras},
        journal = {PVLDB},
        series = {{VLDB} '07},
        pages = {1143--1154},
        year = {2007}
}

Incoming Citations (Sorted by Pagerank)

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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
392 Massive Stochastic Testing of SQL 1998 VLDB 0.00019342814
3,970 Counting, Enumerating, and Sampling of Execution Plans in a Cost-Based Query Optimizer 2000 SIGMOD 6.9835426e-05
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