Leveraging Search-Based and Pre-Trained Code Language Models for Automated Program Repair
Oebele Lijzenga, Iman Hemati Moghadam, Vadim Zaytsev · 2025
Background. Automated Program Repair (APR) techniques often face challenges in navigating vast search space of possible patches and often rely on redundancy-based assumptions, which can restrict the diversity of generated patches. Recently, Code Language Models (CLMs) have emerged as a method for dynamically generating patch ingredients, potentially enhancing patch quality.