Investigating Metamorphic Fuzz Oracle Enhancement via Large Language Models
Read the paper · arXiv:2606.14164
What this paper does with SQLancer
One author-year citation, among the metamorphic testing work the paper builds from.
A study of augmenting fuzz drivers with metamorphic oracles rather than crash-based ones, which the authors say ignore library functionality and limit what can be found. Their framework, MetaFOE, uses an LLM to generate metamorphic relations and integrate them into drivers automatically. On OSS-Fuzz drivers it generated 3,475 relations, 77.3% applicable, and raised edge coverage by 18.7% on average.
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.
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 | 2025; Rigger and Su 2020; Segura et al. |
author year citation |
1 Introduction page 2 |