D 2023

Pull Requests Acceptance: A Study Across Programming Languages

KUHEJDA, Ondřej and Bruno ROSSI

Basic information

Original name

Pull Requests Acceptance: A Study Across Programming Languages

Authors

KUHEJDA, Ondřej (203 Czech Republic, belonging to the institution) and Bruno ROSSI (380 Italy, guarantor, belonging to the institution)

Edition

Not specified, 49th Euromicro Conference Series on Software Engineering and Advanced Applications (SEAA2023), p. 378-385, 8 pp. 2023

Publisher

IEEE

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10200 1.2 Computer and information sciences

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

RIV identification code

RIV/00216224:14330/23:00131439

Organization unit

Faculty of Informatics

ISBN

979-8-3503-4235-2

ISSN

DOI

Keywords in English

Source Code quality; Mining software repositories; Pull requests; Static code analysis

Tags

Tags

International impact, Reviewed
Změněno: 14/3/2024 13:47, Bruno Rossi, PhD

Abstract

V originále

Context: The pull-based development is a modern way to support distributed software development, helping to produce high-quality software with increased involvement from the software development community. Objectives: We investigate the effect of source code quality on Pull Request (PR) acceptance in different programming languages, looking at the quality flaws that can be more relevant. Method: We mine software repositories to analyze over 40K PRs from 100 open-source projects in five different programming languages: Python, Java, Kotlin, Haskell, and C/C++. The code quality of the individual PRs was evaluated using static code analysis. Quality flaws were inputted into classification models to predict PRs acceptance and evaluate the fitting. Results: There is a low impact of code quality on PRs acceptance. No major quality flaws can be used to predict reliably PRs acceptance. Conclusion: Source code quality plays a marginal role in accepting PRs in the analyzed projects. Additional factors might impact the acceptance of PRs, such as the reputation and popularity of the submitters.

Links

CZ.02.1.01/0.0/0.0/16_019/0000822, interní kód MU
(CEP code: EF16_019/0000822)
Name: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur (Acronym: C4e)
Investor: Ministry of Education, Youth and Sports of the CR, CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence, Priority axis 1: Strengthening capacities for high-quality research
EF16_019/0000822, research and development project
Name: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur
90254, large research infrastructures
Name: e-INFRA CZ II