Exploring the Advances in Identifying Useful Code Review Comments

Sharif Ahmed; Nasir U. Eisty

doi:10.1109/ESEM56168.2023.10304792

Exploring the Advances in Identifying Useful Code Review Comments

Sharif Ahmed, Nasir U. Eisty

Computer Science Department

Boise State University

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

2 Scopus citations

Abstract

Effective peer code review in collaborative software development necessitates useful reviewer comments and supportive automated tools. Code review comments are a central component of the Modern Code Review process in the industry and open-source development. Therefore, it is important to ensure these comments serve their purposes. This paper reflects the evolution of research on the usefulness of code review comments. It examines papers that define the usefulness of code review comments, mine and annotate datasets, study developers' perceptions, analyze factors from different aspects, and use machine learning classifiers to automatically predict the usefulness of code review comments. Finally, it discusses the open problems and challenges in recognizing useful code review comments for future research.

Original language	English
Title of host publication	2023 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2023
Publisher	IEEE Computer Society
ISBN (Electronic)	9781665452236
DOIs	https://doi.org/10.1109/ESEM56168.2023.10304792
State	Published - 2023
Event	17th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2023 - New Orleans, United States Duration: 26 Oct 2023 → 27 Oct 2023

Publication series

Name	International Symposium on Empirical Software Engineering and Measurement
ISSN (Print)	1949-3770
ISSN (Electronic)	1949-3789

Conference

Conference	17th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2023
Country/Territory	United States
City	New Orleans
Period	26/10/23 → 27/10/23

Keywords

Modern Code Review
Software Engineering
Software Quality
Useful Comments

Access to Document

10.1109/ESEM56168.2023.10304792

Cite this

@inproceedings{b46e4026c632468b8194eb5dd8af4bf1,

title = "Exploring the Advances in Identifying Useful Code Review Comments",

abstract = "Effective peer code review in collaborative software development necessitates useful reviewer comments and supportive automated tools. Code review comments are a central component of the Modern Code Review process in the industry and open-source development. Therefore, it is important to ensure these comments serve their purposes. This paper reflects the evolution of research on the usefulness of code review comments. It examines papers that define the usefulness of code review comments, mine and annotate datasets, study developers' perceptions, analyze factors from different aspects, and use machine learning classifiers to automatically predict the usefulness of code review comments. Finally, it discusses the open problems and challenges in recognizing useful code review comments for future research.",

keywords = "Modern Code Review, Software Engineering, Software Quality, Useful Comments",

author = "Sharif Ahmed and Eisty, {Nasir U.}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 17th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2023 ; Conference date: 26-10-2023 Through 27-10-2023",

year = "2023",

doi = "10.1109/ESEM56168.2023.10304792",

language = "English",

series = "International Symposium on Empirical Software Engineering and Measurement",

publisher = "IEEE Computer Society",

booktitle = "2023 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2023",

}

Ahmed, S & Eisty, NU 2023, Exploring the Advances in Identifying Useful Code Review Comments. in 2023 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2023. International Symposium on Empirical Software Engineering and Measurement, IEEE Computer Society, 17th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2023, New Orleans, United States, 26/10/23. https://doi.org/10.1109/ESEM56168.2023.10304792

Exploring the Advances in Identifying Useful Code Review Comments. / Ahmed, Sharif; Eisty, Nasir U.
2023 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2023. IEEE Computer Society, 2023. (International Symposium on Empirical Software Engineering and Measurement).

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

TY - GEN

T1 - Exploring the Advances in Identifying Useful Code Review Comments

AU - Ahmed, Sharif

AU - Eisty, Nasir U.

PY - 2023

Y1 - 2023

N2 - Effective peer code review in collaborative software development necessitates useful reviewer comments and supportive automated tools. Code review comments are a central component of the Modern Code Review process in the industry and open-source development. Therefore, it is important to ensure these comments serve their purposes. This paper reflects the evolution of research on the usefulness of code review comments. It examines papers that define the usefulness of code review comments, mine and annotate datasets, study developers' perceptions, analyze factors from different aspects, and use machine learning classifiers to automatically predict the usefulness of code review comments. Finally, it discusses the open problems and challenges in recognizing useful code review comments for future research.

AB - Effective peer code review in collaborative software development necessitates useful reviewer comments and supportive automated tools. Code review comments are a central component of the Modern Code Review process in the industry and open-source development. Therefore, it is important to ensure these comments serve their purposes. This paper reflects the evolution of research on the usefulness of code review comments. It examines papers that define the usefulness of code review comments, mine and annotate datasets, study developers' perceptions, analyze factors from different aspects, and use machine learning classifiers to automatically predict the usefulness of code review comments. Finally, it discusses the open problems and challenges in recognizing useful code review comments for future research.

KW - Modern Code Review

KW - Software Engineering

KW - Software Quality

KW - Useful Comments

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U2 - 10.1109/ESEM56168.2023.10304792

DO - 10.1109/ESEM56168.2023.10304792

M3 - Conference contribution

AN - SCOPUS:85178665176

T3 - International Symposium on Empirical Software Engineering and Measurement

BT - 2023 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2023

PB - IEEE Computer Society

T2 - 17th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2023

Y2 - 26 October 2023 through 27 October 2023

ER -

Exploring the Advances in Identifying Useful Code Review Comments

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Keywords

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