What Can Program Repair Learn From Code Review?

Madeline Endres; Pemma Reiter; Stephanie Forrest; Westley Weimer

doi:10.1145/3524459.3527352

What Can Program Repair Learn From Code Review?

Madeline Endres, Pemma Reiter, Stephanie Forrest, Westley Weimer

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Over the past fifteen years, research on automated program repair has matured, and transitions to industry have begun. However, an impediment to wider adoption is concern over automatically gen-erated patch correctness. A review of 250 program repair research papers suggests that this concern can be addressed by adapting practices from modern code review, such as multiple anonymized reviews and checklists with well-defined terminology, to better evaluate the correctness and acceptability of plausible patches. In this paper, we argue that adopting such practices from modern code review for automated program repair research can increase developer trust, paving the way for wider industrial deployments.

Original language	English (US)
Title of host publication	Proceedings - International Workshop on Automated Program Repair, APR 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	33-37
Number of pages	5
ISBN (Electronic)	9781450392853
DOIs	https://doi.org/10.1145/3524459.3527352
State	Published - 2022
Externally published	Yes
Event	3rd IEEE/ACM International Workshop on Automated Program Repair, APR 2022 - Pittsburgh, United States Duration: May 19 2022 → …

Publication series

Name	Proceedings - International Workshop on Automated Program Repair, APR 2022

Conference

Conference	3rd IEEE/ACM International Workshop on Automated Program Repair, APR 2022
Country/Territory	United States
City	Pittsburgh
Period	5/19/22 → …

Keywords

Automated program repair
code review
human evaluations
patch correctness

ASJC Scopus subject areas

Software
Safety, Risk, Reliability and Quality
Control and Optimization

Access to Document

10.1145/3524459.3527352

Cite this

Endres, M., Reiter, P., Forrest, S., & Weimer, W. (2022). What Can Program Repair Learn From Code Review? In Proceedings - International Workshop on Automated Program Repair, APR 2022 (pp. 33-37). (Proceedings - International Workshop on Automated Program Repair, APR 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1145/3524459.3527352

What Can Program Repair Learn From Code Review? / Endres, Madeline; Reiter, Pemma; Forrest, Stephanie et al.
Proceedings - International Workshop on Automated Program Repair, APR 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 33-37 (Proceedings - International Workshop on Automated Program Repair, APR 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Endres, M, Reiter, P, Forrest, S & Weimer, W 2022, What Can Program Repair Learn From Code Review? in Proceedings - International Workshop on Automated Program Repair, APR 2022. Proceedings - International Workshop on Automated Program Repair, APR 2022, Institute of Electrical and Electronics Engineers Inc., pp. 33-37, 3rd IEEE/ACM International Workshop on Automated Program Repair, APR 2022, Pittsburgh, United States, 5/19/22. https://doi.org/10.1145/3524459.3527352

@inproceedings{5166e70c14fe4a62a6843db11adb4395,

title = "What Can Program Repair Learn From Code Review?",

abstract = "Over the past fifteen years, research on automated program repair has matured, and transitions to industry have begun. However, an impediment to wider adoption is concern over automatically gen-erated patch correctness. A review of 250 program repair research papers suggests that this concern can be addressed by adapting practices from modern code review, such as multiple anonymized reviews and checklists with well-defined terminology, to better evaluate the correctness and acceptability of plausible patches. In this paper, we argue that adopting such practices from modern code review for automated program repair research can increase developer trust, paving the way for wider industrial deployments.",

keywords = "Automated program repair, code review, human evaluations, patch correctness",

author = "Madeline Endres and Pemma Reiter and Stephanie Forrest and Westley Weimer",

note = "Funding Information: We acknowledge the partial support of the NSF (CCF 1908633, CCF 1763674) and a Google Faculty Research Award. Publisher Copyright: {\textcopyright} 2022 ACM.; 3rd IEEE/ACM International Workshop on Automated Program Repair, APR 2022 ; Conference date: 19-05-2022",

year = "2022",

doi = "10.1145/3524459.3527352",

language = "English (US)",

series = "Proceedings - International Workshop on Automated Program Repair, APR 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "33--37",

booktitle = "Proceedings - International Workshop on Automated Program Repair, APR 2022",