Bug Fix

Automated bug fixing is a rapidly evolving field aiming to improve software development efficiency and reliability by automatically identifying and correcting errors in code. Current research heavily utilizes large language models (LLMs), often integrated with code analysis techniques, to generate code patches based on various inputs, including natural language descriptions of bugs, accessibility scanner outputs, or even developer discussions. This work is significant because it addresses the time-consuming and error-prone nature of manual debugging, potentially leading to faster software development cycles and higher-quality software. The effectiveness of these LLM-based approaches is being rigorously evaluated using various benchmarks and datasets, focusing on improving accuracy and addressing challenges like handling diverse bug types and complex code structures.