Cyclomatic Complexity and False Negative Rates in DeepSeek R1 Vulnerability Detection

This report synthesises findings from 8 peer-reviewed papers addressing the following research question: How does the cyclomatic complexity of code snippets correlate with the false negative rate of Deepseek R1 in vulnerability detection tasks on the Big-Vul dataset. 7 claims were extracted from source literature; 7 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 8.8/10. This report is a machine-generated literature synthesis and does not constitute original research.

Research goal: How does the cyclomatic complexity of code snippets correlate with the false negative rate of Deepseek R1 in vulnerability detection tasks on the Big-Vul dataset?

Autonomous literature synthesis. Automated review score: 8.8/10. Full text and citation available at Assignee Research.