Researchers have recently achieved significant advances in deep learning techniques,
which in turn has substantially advanced other research disciplines, such as natural …

In software development, resolving the emergent issues within GitHub repositories is a
complex challenge that involves not only the incorporation of new code but also the …

With the rapid development and large-scale popularity of program software, modern society
increasingly relies on software systems. However, the problems exposed by software have …

Students often make mistakes on their introductory programming assignments as part of
their learning process. Unfortunately, providing custom repairs for these mistakes can …

Novel AI-based code-writing Large Language Models (LLMs) such as OpenAI's Codex have
demonstrated capabilities in many coding-adjacent domains. In this work we consider how …

Learning-based program repair has achieved good results in a recent series of papers. Yet,
we observe that the related work fails to repair some bugs because of a lack of knowledge …

Software debugging is a time-consuming endeavor involving a series of steps, such as fault
localization and patch generation, each requiring thorough analysis and a deep …

Automated program repair is an emerging technology that seeks to automatically rectify
bugs and vulnerabilities using learning, search, and semantic analysis. Trust in …

Interpreting and debugging machine learning models is necessary to ensure the robustness
of the machine learning models. Explaining mispredictions can help significantly in doing so …

Concept This paper is a living review on automatic program repair 1. Compared to a
traditional survey, a living review evolves over time. I use a concise bullet-list style meant to …