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 …

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 …

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

A key challenge of automated program repair is finding correct patches in the vast search
space of candidate patches. Real-world programs define large namespaces of variables that …

Program analysis techniques such as abstract interpretation and symbolic execution suffer
from imprecision due to over-and underapproximation, which results in false alarms and …

Recent research has shown that incorporating bug-related facts, such as stack traces and
GitHub issues, into prompts enhances the bug-fixing capabilities of large language models …

Automated program repair (APR) enhances software quality by fixing bugs automatically, but
it faces challenges due to software complexity. The vast number of possible patches makes …