Exploring and Enhancing the Robustness of LLM-Powered Automated Program Repair Using Metamorphic Testing

Large language models (LLMs) show promise for automated program repair (APR) but are susceptible to code style variations. This research introduces MT-LAPR, a metamorphic testing framework that identifies and exploits these vulnerabilities to improve LLM-based APR robustness.