# Program Repair

arXiv: https://arxiv.org/abs/2211.12787 · HTML: https://mlsanity.com/paper/2211.12787/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 23 Nov 2022.

## Built on by (most cited first, 1 of 1)

- [Memory-Efficient Large Language Models for Program Repair with Semantic-Guided Patch Generation](https://mlsanity.com/paper/2410.16655/) (2024)

## Abstract (arXiv)

Automated program repair is an emerging technology which consists of a suite of techniques to automatically fix bugs or vulnerabilities in programs. In this paper, we present a comprehensive survey of the state of the art in program repair. We first study the different suite of techniques used including search based repair, constraint based repair and learning based repair. We then discuss one of the main challenges in program repair namely patch overfitting, by distilling a class of techniques which can alleviate patch overfitting. We then discuss classes of program repair tools, applications of program repair as well as uses of program repair in industry. We conclude the survey with a forward looking outlook on future usages of program repair, as well as research opportunities arising from work on code from large language models.