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Chang Lou, Yuzhuo Jing, Peng Huang. 2022. USENIX Symposium on Operating Systems Design and Implementation.

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What this paper does with SQLancer

One citation, in a survey of solutions for detecting semantic bugs in file systems and DBMSs, where pivoted query synthesis is named alongside cross-checking file system implementations and fuzzing. This paper studies silent semantic violations in large distributed systems -- failures where the system keeps running but breaks a property it promised. The authors analyse such violations across widely used systems, derive rules that capture the properties, and check them at runtime, finding violations that crash-oriented testing does not. 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 (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.

#EntryMatched as
54 M. Rigger and Z. Su. Testing database engines via pivoted query synthesis. In 14th USENIX Symposium on Operating Systems Design and Implementation, OSDI ’20, pages 667– 682. USENIX Association, Nov. 2020. sqlancer publication · PQS

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 Several solutions are proposed to detect semantic bugs in file systems and DBMS, including cross-checking multiple file system implementations [50], fuzzing [39], and testing using pivoted query [54]. citation marker
background
10.5 Rule Activation and False Positive
page 15

This page is rendered from _data/papers/paper_s2_84c637ad3297e0d4e45a4f5245d0472a82a59268.json, extracted from supplied pdf. 18 pages, 58 references parsed.