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 has emerged as a powerful technique to mitigate the impact of
software bugs on system reliability and user experience. This paper introduces RepairAgent …

Machine learning (ML) pervades the field of Automated Program Repair (APR). Algorithms
deploy neural machine translation and large language models (LLMs) to generate software …

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 …

The Rust programming language, with its safety guarantees, has established itself as a
viable choice for low-level systems programming language over the traditional, unsafe …

Industrial deployments of automated program repair (APR), eg, at Facebook and Bloomberg,
signal a new milestone for this exciting and potentially impactful technology. In these …

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 …

Context Finding code changes that introduced bugs is important both for practitioners and
researchers, but doing it precisely is a manual, effort-intensive process. The perfect test …

To date, over 40 Automated Program Repair (APR) tools have been designed with varying
bug-fixing strategies, which have been demonstrated to have complementary performance …

This paper presents our approach proposed to detect and create indivisible multi-hunk bugs,
an evaluation of existing repair techniques based on these bugs, and a study of the patches …