Enhancing Automated Program Repair through Fine-tuning and Prompt Engineering

no code implementations • 16 Apr 2023 • Rishov Paul, Md. Mohib Hossain, Mohammed Latif Siddiq, Masum Hasan, Anindya Iqbal, Joanna C. S. Santos

We applied PLBART and CodeT5, two state-of-the-art language models that are pre-trained with both PL and NL, on two such natural language-based program repair datasets and found that the pre-trained language models fine-tuned with datasets containing both code review and subsequent code changes notably outperformed each of the previous models.

Program Repair Prompt Engineering