Test Data Generation for Complex SQL Queries

Sunanda Somwase, Parismita Das, S. Sudarshan. 2025. Proc. ACM Manag. Data.

What this paper does with SQLancer

A single citation in the conclusion, placing SQLancer's work among related database testing research. This paper generates sample data for testing SQL queries, a task with applications in testing analytics and application queries, grading student queries, and validating text-to-SQL output. Earlier work handled single-block and single-level nested queries but not more complex ones. The authors present an architecture aimed at complex queries, and also beat the state of the art on the narrower problem of demonstrating that two queries are not equivalent. Written by claude-opus-5 from the 1 place this paper refers to SQLancer. The quotations below are the paper's own words, stored verbatim when the text was extracted.

How it was classified

uses infrastructure — no

SQLancer is cited, not used; nothing in the mentions describes reusing its code.

extends technique — no

No technique is extended; the citation is background.

compares with — no

No empirical comparison against SQLancer is reported in the mentions.

describes as state of the art — no

The citation does not characterise SQLancer as the state of the art.

SQLancer publications it cites (2)

Bibliography entries that resolved to a SQLancer publication, or to a paper by one of the project's authors. A sentence citing one of these numbers is a reference to SQLancer even when it never writes the name.

#	Entry	Matched as
19	Manuel Rigger and Zhendong Su. 2020. Detecting optimization bugs in database engines via non-optimizing reference engine construction. InProceedings of the 28th ACM Joint Meeting on European Software Engineering Confe...	sqlancer publication · NOREC
20	Manuel Rigger and Zhendong Su. 2020. Finding bugs in database systems via query partitioning.Proc. ACM Program. Lang.4, OOPSLA, Article 211 (Nov. 2020), 30 pages. https://doi.org/10.1145/3428279	sqlancer publication · TLP

Every place it refers to SQLancer (1)

1 sentence, each stored verbatim from the extracted text with where it was found and how. “Citation marker” means the sentence names no tool at all and was reached through a reference number that resolved to a SQLancer publication.

Id	Sentence	Found by	Where
M1	[19, 20].	citation marker background	9 Conclusion and Future Work page 24

This page is rendered from _data/papers/paper_doi_10_1145_3769832.json, extracted from supplied pdf. 26 pages, 26 references parsed.