COTVD: A function-level vulnerability detection framework using chain-of-thought reasoning with large language models

Key Points

• The framework effectively identifies vulnerabilities at the function level, enhancing software security practices.
• With this approach, algorithm performance is significantly improved, supporting safer software deployment.
• Analysis employs advanced large language models, integrating chain-of-thought reasoning methods for precise detection.
• The implications highlight the need for adopting improved practices in vulnerability assessments for better software integrity.