SCoPE: Evaluating LLMs for Software Vulnerability Detection

Understand

In recent years, code security has become increasingly important, especially with the rise of interconnected technologies.

• Detecting vulnerabilities early in the software development process has demonstrated numerous benefits.
• Consequently, the scientific community started using machine learning for automated detection of source code vulnerabilities.
• This work explores and refines the CVEFixes dataset, which is commonly used to train models for code-related tasks, specifically the C/C++ subset.