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Article

How the evolution of emerging collaborations relates to code changes: an empirical study

Authors:

Sebastiano Panichella,

Gerardo Canfora,

Massimiliano Di Penta,

Rocco OlivetoAuthors Info & Claims

ICPC 2014: Proceedings of the 22nd International Conference on Program Comprehension

Pages 177 - 188

https://doi.org/10.1145/2597008.2597145

Published: 02 June 2014 Publication History

Abstract

Developers contributing to open source projects spontaneously group into "emerging'' teams, reflected by messages exchanged over mailing lists, issue trackers and other communication means. Previous studies suggested that such teams somewhat mirror the software modularity. This paper empirically investigates how, when a project evolves, emerging teams re-organize themselves-e.g., by splitting or merging. We relate the evolution of teams to the files they change, to investigate whether teams split to work on cohesive groups of files. Results of this study-conducted on the evolution history of four open source projects, namely Apache httpd, Eclipse JDT, Netbeans, and Samba-provide indications of what happens in the project when teams reorganize. Specifically, we found that emerging team splits imply working on more cohesive groups of files and emerging team merges imply working on groups of files that are cohesive from structural perspective. Such indications serve to better understand the evolution of software projects. More important, the observation of how emerging teams change can serve to suggest software remodularization actions.

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Cited By

Panichella S(2024)Vulnerabilities Introduced by LLMs Through Code SuggestionsLarge Language Models in Cybersecurity10.1007/978-3-031-54827-7_9(87-97)Online publication date: 12-Apr-2024
https://doi.org/10.1007/978-3-031-54827-7_9
Xu YWang YFang FRao Y(2023)Research on code entity recognition matching technologyEighth International Conference on Electronic Technology and Information Science (ICETIS 2023)10.1117/12.2682370(29)Online publication date: 20-Jun-2023
https://doi.org/10.1117/12.2682370
Wang LLi YZhang JTao XRoychoudhury ACadar CKim M(2022)Quantifying community evolution in developer social networksProceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3540250.3549106(157-169)Online publication date: 7-Nov-2022
https://dl.acm.org/doi/10.1145/3540250.3549106
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Index Terms

How the evolution of emerging collaborations relates to code changes: an empirical study
1. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems
      1. Project and people management
2. Software and its engineering
  1. Software creation and management
    1. Software development process management
  2. Software notations and tools
    1. Software configuration management and version control systems

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Information & Contributors

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Published In

cover image ACM Conferences

ICPC 2014: Proceedings of the 22nd International Conference on Program Comprehension

June 2014

325 pages

ISBN:9781450328791

DOI:10.1145/2597008

General Chair:
Chanchal K. Roy
University of Saskatchewan, Canada
,
Program Chairs:
Andrew Begel
Microsoft Research, USA
,
Leon Moonen
Simula Research Laboratory, Norway

Copyright © 2014 ACM.

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]

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TCSE: IEEE Computer Society's Tech. Council on Software Engin.

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Association for Computing Machinery

New York, NY, United States

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Published: 02 June 2014

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ICSE '14: 36th International Conference on Software Engineering

June 2 - 3, 2014

Hyderabad, India

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2025 IEEE/ACM 46th International Conference on Software Engineering

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Cited By

Panichella S(2024)Vulnerabilities Introduced by LLMs Through Code SuggestionsLarge Language Models in Cybersecurity10.1007/978-3-031-54827-7_9(87-97)Online publication date: 12-Apr-2024
https://doi.org/10.1007/978-3-031-54827-7_9
Xu YWang YFang FRao Y(2023)Research on code entity recognition matching technologyEighth International Conference on Electronic Technology and Information Science (ICETIS 2023)10.1117/12.2682370(29)Online publication date: 20-Jun-2023
https://doi.org/10.1117/12.2682370
Wang LLi YZhang JTao XRoychoudhury ACadar CKim M(2022)Quantifying community evolution in developer social networksProceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3540250.3549106(157-169)Online publication date: 7-Nov-2022
https://dl.acm.org/doi/10.1145/3540250.3549106
Di Sorbo APanichella SVisaggio CPenta MCanfora GGall H(2021)Exploiting Natural Language Structures in Software Informal DocumentationIEEE Transactions on Software Engineering10.1109/TSE.2019.293051947:8(1587-1604)Online publication date: 1-Aug-2021
https://doi.org/10.1109/TSE.2019.2930519
Ashraf UMayr-Dorn CMashkoor AEgyed APanichella S(2021)Do Communities in Developer Interaction Networks align with Subsystem Developer Teams? An Empirical Study of Open Source Systems2021 IEEE/ACM Joint 15th International Conference on Software and System Processes (ICSSP) and 16th ACM/IEEE International Conference on Global Software Engineering (ICGSE)10.1109/ICSSP-ICGSE52873.2021.00016(61-71)Online publication date: May-2021
https://doi.org/10.1109/ICSSP-ICGSE52873.2021.00016
Huang QXia XLo DMurphy G(2020)Automating Intention MiningIEEE Transactions on Software Engineering10.1109/TSE.2018.287634046:10(1098-1119)Online publication date: 1-Oct-2020
https://doi.org/10.1109/TSE.2018.2876340
Mao WSun BXu GLiu CSi CWang W(2019)Understanding Effects of Collaborations in Developing Mobile Computing Systems: Popularity, Efficiency, and QualityIEEE Access10.1109/ACCESS.2019.29043337(33380-33392)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2904333
Avelino GPassos LHora AValente M(2019)Measuring and analyzing code authorship in 1 + 118 open source projectsScience of Computer Programming10.1016/j.scico.2019.03.001Online publication date: Mar-2019
https://doi.org/10.1016/j.scico.2019.03.001
Nelson NBrindescu CMcKee SSarma ADig D(2019)The life-cycle of merge conflicts: processes, barriers, and strategiesEmpirical Software Engineering10.1007/s10664-018-9674-xOnline publication date: 5-Feb-2019
https://doi.org/10.1007/s10664-018-9674-x
Brindescu CLeavens GGarcia APăsăreanu C(2018)How do developers resolve merge conflicts? an investigation into the processes, tools, and improvementsProceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3236024.3275430(952-955)Online publication date: 26-Oct-2018
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