Bug Analysis

Bug analysis focuses on identifying, characterizing, and predicting the resolution of software errors across diverse systems, from traditional software to machine learning applications and even video game environments. Current research emphasizes leveraging large language models (LLMs) alongside traditional static analysis techniques to improve bug detection and prediction accuracy, as well as exploring the unique characteristics of bugs in machine learning systems. These advancements are crucial for enhancing software reliability, improving development efficiency, and ultimately reducing the costs associated with software defects.