Skeletal approximation enumeration for SMT solver testing
Read the paper · doi:10.1145/3468264.3468540
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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 |
|---|---|---|
| 47 | 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 | in many application domains such as bioinformatics [ 26], web services [ 24], compilers [ 36,51], debuggers [ 53], databases [ 47], machine learning-based systems [ 31,38], model counters [ 55], and SMT solvers [60]. |
citation marker |
6 DISCUSSION page 11 |