Code Complexity Metrics and False Positive Rates in LLM-Based Vulnerability Detection
Description
This report synthesises findings from 13 peer-reviewed papers addressing the following research question: What is the correlation between code complexity metrics and the false positive rates of state-of-the-art code LLMs when evaluating vulnerability detection on obfuscated versus clean code datasets. 9 claims were extracted from source literature; 9 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 8.7/10. This report is a machine-generated literature synthesis and does not constitute original research.
Research goal: What is the correlation between code complexity metrics and the false positive rates of state-of-the-art code LLMs when evaluating vulnerability detection on obfuscated versus clean code datasets?
Autonomous literature synthesis. Automated review score: 8.7/10. Full text and citation available at Assignee Research.
Notes
Files
paper.pdf
Files
(77.4 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:a13a2c1031601d031ba2173b62b298fc
|
77.4 kB | Preview Download |
Additional details
Related works
- Is compiled by
- https://assignee.net (URL)