SQLBarber: A System Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads
Read the paper · doi:10.1145/3786699 · arXiv:2507.06192
What this paper does with SQLancer
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 (1)
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 |
|---|---|---|
| 2 | Jinsheng Ba and Manuel Rigger. 2023. Testing database engines via query plan guidance. In2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE). IEEE, 2060–2071. | sqlancer publication · QPG |
Every place it refers to SQLancer (3)
3 sentences, 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 | SQLSmith [ 1], SQLancer [ 2], and SQLStorm [ 28] focus on generating diverse queries for testing and debugging. |
name |
1 Introduction page 1 |
| M2 | SQLBarber relates to prior work on generating diverse SQL queries for testing and debugging [ 1,2,28]. |
citation marker |
2 Related Work page 3 |
| M3 | SQLancer [ 2] employs a feedbackguided test generation approach that aims to produce diverse query execution plans, based on the idea that exploring a wide range of plans helps reveal bugs. |
name |
2 Related Work page 4 |