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10.1109/ICSME.2014.62guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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Continuous Integration in a Social-Coding World: Empirical Evidence from GitHub

Published: 29 September 2014 Publication History

Abstract

Continuous integration is a software engineering practice of frequently merging all developer working copies with a shared main branch, e.g., several times a day. With the advent of GitHub, a platform well known for its "social coding" features that aid collaboration and sharing, and currently the largest code host in the open source world, collaborative software development has never been more prominent. In GitHub development one can distinguish between two types of developer contributions to a project: direct ones, coming from a typically small group of developers with write access to the main project repository, and indirect ones, coming from developers who fork the main repository, update their copies locally, and submit pull requests for review and merger. In this paper we explore how GitHub developers use continuous integration as well as whether the contribution type (direct versus indirect) and different project characteristics (e.g., main programming language, or project age) are associated with the success of the automatic builds.

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  • (2024)Towards Efficient Build Ordering for Incremental Builds with Multiple ConfigurationsProceedings of the ACM on Software Engineering10.1145/36607741:FSE(1494-1517)Online publication date: 12-Jul-2024
  • (2024)A dataset of GitHub Actions workflow historiesProceedings of the 21st International Conference on Mining Software Repositories10.1145/3643991.3644867(677-681)Online publication date: 15-Apr-2024
  • (2024)Impact of data quality for automatic issue classification using pre-trained language modelsJournal of Systems and Software10.1016/j.jss.2023.111838210:COnline publication date: 1-Apr-2024
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cover image Guide Proceedings
ICSME '14: Proceedings of the 2014 IEEE International Conference on Software Maintenance and Evolution
September 2014
666 pages
ISBN:9781479961467

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IEEE Computer Society

United States

Publication History

Published: 29 September 2014

Author Tags

  1. GitHub
  2. automatic build
  3. collaborative software development
  4. continuous integration

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Cited By

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  • (2024)Towards Efficient Build Ordering for Incremental Builds with Multiple ConfigurationsProceedings of the ACM on Software Engineering10.1145/36607741:FSE(1494-1517)Online publication date: 12-Jul-2024
  • (2024)A dataset of GitHub Actions workflow historiesProceedings of the 21st International Conference on Mining Software Repositories10.1145/3643991.3644867(677-681)Online publication date: 15-Apr-2024
  • (2024)Impact of data quality for automatic issue classification using pre-trained language modelsJournal of Systems and Software10.1016/j.jss.2023.111838210:COnline publication date: 1-Apr-2024
  • (2023)Analyzing the Impact of CI Sub-practices on Continuous Code Quality in Open-Source Projects: An Empirical StudyProceedings of the XXXVII Brazilian Symposium on Software Engineering10.1145/3613372.3613403(1-10)Online publication date: 25-Sep-2023
  • (2023)HybridCISave: A Combined Build and Test Selection Approach in Continuous IntegrationACM Transactions on Software Engineering and Methodology10.1145/357603832:4(1-39)Online publication date: 26-May-2023
  • (2022)Characterizing the Usage of CI Tools in ML ProjectsProceedings of the 16th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement10.1145/3544902.3546237(69-79)Online publication date: 19-Sep-2022
  • (2021)Enabling Collaborative Data Science Development with the Ballet FrameworkProceedings of the ACM on Human-Computer Interaction10.1145/34795755:CSCW2(1-39)Online publication date: 18-Oct-2021
  • (2021)What helped, and what did not?Proceedings of the 43rd International Conference on Software Engineering10.1109/ICSE43902.2021.00031(213-225)Online publication date: 22-May-2021
  • (2019)A conceptual replication of continuous integration pain points in the context of Travis CIProceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3338906.3338922(647-658)Online publication date: 12-Aug-2019
  • (2019)A large-scale empirical study of compiler errors in continuous integrationProceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3338906.3338917(176-187)Online publication date: 12-Aug-2019
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