Volume 12 Number 6 (June. 2017)
Home > Archive > 2017 > Volume 12 Number 6 (June. 2017) >
JSW 2017 Vol.12(6): 393-405 ISSN: 1796-217X
doi: 10.17706/jsw.12.6.393-405

Towards Understanding Developers’ Collaborative Behavior in Open Source Software Ecosystems

Yaxin Liu1, Peng He1, 2*, Gaoyan Wu1, Yilu Li1

1School of Computer Science and Information Engineering, Hubei University, 430062, Wuhan, China.
2Hubei Province Eng. Technology Research Center for Education Info., Hubei University, 430062, Wuhan, China.

Abstract—Understanding developers’ collaborative behavior is an essential step to facilitate the needs of collaborative development activities in open-source software (OSS) ecosystem. In this paper, we conducted an empirical study to gain insight into how existing developers collaborate together and what factors affect their collaborative behavior from the perspectives of collective interaction, and attempt to explore the typical interactive modes for the corresponding types of new collaborations. The results show that different existing developers tend to prefer different collaboration patterns, and short topological distance has very limited effect on their first collaboration. By contrast, development experience seems to be important factor that affect their potential collaboration. The results also indicate that different collaboration patterns support different interactive modes, and are related to the popularity of projects. The findings are of value for existing developers to maintain sufficient collaboration awareness, so as to improve the stability and sustainability of OSS ecosystem.

Index Terms—OSS ecosystem, developer collaboration network, behavior analysis, collaboration pattern.


Cite: Yaxin Liu1, Peng He, Gaoyan Wu, Yilu Li, "Towards Understanding Developers’ Collaborative Behavior in Open Source Software Ecosystems," Journal of Software vol. 12, no. 6, pp. 393-405, 2017.

General Information

ISSN: 1796-217X (Online)
Frequency:  Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsweditorialoffice@gmail.com
  • Mar 01, 2024 News!

    Vol 19, No 1 has been published with online version    [Click]

  • Jan 04, 2024 News!

    JSW will adopt Article-by-Article Work Flow

  • Apr 01, 2024 News!

    Vol 14, No 4- Vol 14, No 12 has been indexed by IET-(Inspec)     [Click]

  • Apr 01, 2024 News!

    Papers published in JSW Vol 18, No 1- Vol 18, No 6 have been indexed by DBLP   [Click]

  • Nov 02, 2023 News!

    Vol 18, No 4 has been published with online version   [Click]