Test Data Generation for Complex SQL Queries
Summary: Novel architecture and techniques for generating test data for complex SQL (multi-block, deep nesting, advanced constructs), targeting validation of analytics, application, and text-to-SQL queries. Outperforms prior generators and improves non-equivalence detection. (summarized by gpt-5-mini on Feb 11 2026)
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Authors
- 1. Sunanda Somwase
- 2. Parismita Das
- 3. S. Sudarshan
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,581 | Execution Strategies for SQL Subqueries | 2007 | SIGMOD | 0.00011262795 |
| 2,097 | Axiomatic Foundations and Algorithms for Deciding Semantic Equivalences of SQL Queries | 2018 | VLDB | 9.5439744e-05 |
| 4,385 | Proving Query Equivalence Using Linear Integer Arithmetic | 2023 | SIGMOD | 6.2247394e-05 |
| 6,718 | Efficient Regression Tests for Database Applications | 2005 | CIDR | 4.9459755e-05 |
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