Testing query execution engines with mutations
Read the paper · doi:10.1145/3395032.3395322
What this paper does with SQLancer
How it was classified
uses infrastructure — no
SQLancer is cited as related work; no reuse of its code, generator or workload is described.
extends technique — no
No SQLancer technique is extended; the citation is background.
compares with — no
No empirical comparison against SQLancer or one of its oracles is reported.
describes as state of the art — no
The text does not describe 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 |
|---|---|---|
| 3 | Manuel Rigger and Zhendong Su. 2020. Testing Database Engines via Pivoted Query Synthesis. arXiv:cs.DB/2001.04174 | sqlancer publication · PQS |
Every place it refers to SQLancer (2)
2 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 | Meanwhile, pivot query synthesis (PQS) [ 3] is a new testing algorithm that also utilizes equivalence mutation so that the mutated query contains a specific row in the original output. |
technique |
5 RELATED WORK page 4 |
| M2 | , insert and removal of subqueries) while PQS focuses on predicate level mutation (e. |
technique |
5 RELATED WORK page 4 |