Bug Report

Bug report analysis focuses on automatically identifying, classifying, and prioritizing software defects using natural language processing (NLP) and machine learning techniques. Current research emphasizes leveraging large language models (LLMs) like BERT and RoBERTa, along with transformer-based architectures, to improve the accuracy and efficiency of bug detection, localization, and repair, often incorporating multi-modal approaches that combine code and natural language information. This work is significant for improving software quality and developer productivity by automating time-consuming tasks like bug triage and patch generation, ultimately leading to more robust and reliable software systems.