AutoFL: Automated Fault Localization via LLM-Driven Test Generation

Peking University / Tsinghua University

We propose AutoFL, a fully automated fault localization technique that leverages large language models to generate targeted test cases for pinpointing software bugs. Our approach achieves state-of-the-art results on the Defects4J benchmark without any manual intervention.