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 …

Automated program repair (APR) aims to fix software bugs automatically and plays a crucial
role in software development and maintenance. With the recent advances in deep learning …

Automated Program Repair (APR) aims to automatically generate patches for buggy
programs. Traditional APR techniques suffer from a lack of patch variety as they rely heavily …

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 …

Automated Program Repair (APR) has garnered significant attention due to its potential to
streamline the bug repair process for human developers. Recently, LLM-based APR …

Automated Program Repair (APR) aspires to automatically generate patches for an input
buggy program. Traditional APR tools typically focus on specific bug types and fixes through …

Recent years have seen a rise in Neural Program Repair (NPR) systems in the software
engineering community, which adopt advanced deep learning techniques to automatically …

Code translation converts code from one programming language to another while
maintaining its original functionality, which is crucial for software migration, system …

Pretrained models for code have exhibited promising performance across various code-
related tasks, such as code summarization, code completion, code translation, and bug …

Automated program repair (APR) research has entered the era of large language models
(LLM), and researchers have conducted several empirical studies to explore the repair …