skip to main content
10.1145/3196398.3196406acmconferencesArticle/Chapter ViewAbstractPublication PagesicseConference Proceedingsconference-collections
short-paper

A study on inappropriately partitioned commits: how much and what kinds of IP commits in Java projects?

Published: 28 May 2018 Publication History

Abstract

When we use code repositories, each commit should include code changes for only a single task and code changes for a single task should not be scattered over multiple commits. There are many studies on the former violation-often referred to as tangled commits- but the latter violation has been out of scope for MSR research. In this paper, we firstly investigate how much and what kinds of inappropriately partitioned commits in Java projects. Then, we propose a simple technique to detect such commits automatically. We also report evaluation results of the proposed technique.

References

[1]
Stephen P. Berczuk and Brad Appleton. 2002. Software Configuration Management Patterns: Effective Teamwork, Practical Integration. Addison-Wesley Longman Publishing Co., Inc., Boston, MA, USA.
[2]
James M. Bieman, Anneliese A. Andrews, and Helen J. Yang. 2003. Understanding Change-proneness in OO Software through Visualization. In Proceedings of 11th International Workshop on Program Comprehension. 44--53.
[3]
Scott Chacon and Ben Straub. 2014. Pro Git (2nd ed.). Apress, Berkely, CA, USA.
[4]
Harald Gall, Karin Hajek, and Mehdi Jazayeri. 1998. Detection of Logical Coupling Based on Product Release History. In Proceedings of the International Conference on Software Maintenance. 190--198.
[5]
Kim Herzig and Andreas Zeller. 2013. The Impact of Tangled Code Changes. In Proceedings of the 10th Working Conference on Mining Software Repositories. 121--130.
[6]
Hiroyuki Kirinuki, Yoshiki Higo, Keisuke Hotta, and Shinji Kusumoto. 2014. Hey! Are You Committing Tangled Changes?. In Proceedings of the 22nd International Conference on Program Comprehension. 262--265.
[7]
Thomas Zimmermann, Peter Weissgerber, Stephan Diehl, and Andreas Zeller. 2005. Mining Version Histories to Guide Software Changes. IEEE Transactions on Software Engineering 31, 6 (2005), 429--445.

Cited By

View all
  • (2024)Exploring the Software Quality Maze: Detecting Scattered and Tangled Crosscutting Quality Concerns in Source Code in Support of Maintenance Tasksundefined10.12794/metadc2332577Online publication date: May-2024
  • (2022)A fine-grained data set and analysis of tangling in bug fixing commitsEmpirical Software Engineering10.1007/s10664-021-10083-527:6Online publication date: 1-Nov-2022
  • (2019)Confusion in Code Reviews: Reasons, Impacts, and Coping Strategies2019 IEEE 26th International Conference on Software Analysis, Evolution and Reengineering (SANER)10.1109/SANER.2019.8668024(49-60)Online publication date: Feb-2019
  • Show More Cited By

Index Terms

  1. A study on inappropriately partitioned commits: how much and what kinds of IP commits in Java projects?

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    MSR '18: Proceedings of the 15th International Conference on Mining Software Repositories
    May 2018
    627 pages
    ISBN:9781450357166
    DOI:10.1145/3196398
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 28 May 2018

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. inappropriately partitioned commits
    2. logical coupling
    3. tangled commits

    Qualifiers

    • Short-paper

    Conference

    ICSE '18
    Sponsor:

    Upcoming Conference

    ICSE 2025

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)3
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 16 Feb 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)Exploring the Software Quality Maze: Detecting Scattered and Tangled Crosscutting Quality Concerns in Source Code in Support of Maintenance Tasksundefined10.12794/metadc2332577Online publication date: May-2024
    • (2022)A fine-grained data set and analysis of tangling in bug fixing commitsEmpirical Software Engineering10.1007/s10664-021-10083-527:6Online publication date: 1-Nov-2022
    • (2019)Confusion in Code Reviews: Reasons, Impacts, and Coping Strategies2019 IEEE 26th International Conference on Software Analysis, Evolution and Reengineering (SANER)10.1109/SANER.2019.8668024(49-60)Online publication date: Feb-2019
    • (2018)[Research Paper] Untangling Composite Commits Using Program Slicing2018 IEEE 18th International Working Conference on Source Code Analysis and Manipulation (SCAM)10.1109/SCAM.2018.00030(193-202)Online publication date: Sep-2018

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media