Runtime Error

Runtime errors, unexpected failures during program execution, pose a significant challenge in software development, leading to system crashes and data loss. Current research focuses on mitigating these errors through automated self-healing techniques, employing novel approaches like large language models (LLMs) to dynamically generate error-handling code, and also on predicting errors statically before runtime by leveraging machine learning models that simulate program execution. These advancements aim to improve software reliability and reduce the cost associated with debugging and maintenance, impacting both the efficiency of software development and the robustness of deployed systems.