Enhancing AI-Generated Code Evaluation
A New Approach to Bridge Code and Requirements
This research introduces a Reverse Generation technique and SBC Metric to better evaluate LLM-generated code against human requirements.
- Addresses the limitations of traditional metrics (BLEU, ROUGE) in code quality assessment
- Proposes reverse generation that transforms code back to requirements for comprehensive evaluation
- Introduces a novel Semantic-Behavior-Conformance (SBC) metric that better aligns with human judgment
- Provides developers with actionable insights to improve AI code integration
This research matters for engineering teams by offering more reliable ways to assess and integrate AI-generated code into production systems, potentially reducing technical debt and security risks.