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A Longitudinal Study of an Industrial FLOSS project using Social Network Analysis

Gregorio Robles, Jose Teixeira, Jesus Gonzalez-Barahona, A Longitudinal Study of an Industrial FLOSS project using Social Network Analysis. In: Magiel Bruntink, Tijs van der Storm (Eds.), BElgian-NEtherlands software eVOLution seminar, 60–64, CWI, 2014.

Abstract:

Free/Libre/Open Source projects were originally developed by a community of volunteers. In the late 1990s, companies began to collaborate with those communities, some of them by contributing to existing projects (Linux is the best example) or by releasing new ones (such as IBM with Eclipse, or once SUN with OpenOffice.org, etc.). \emph{Hybrid} development communities, where community and industry collaborated, became frequent. In recent years, a new type of FLOSS projects has emerged, driven by several companies who employ most, if not all of the core developers and with a very small amount of contributions from volunteers. We call this type of projects \emph{industrial} FLOSS projects. This is the case for instance of WebKit (a web browser layout engine developed in cooperation by Apple, Nokia, Google, Samsung, Intel, RIM among others) or OpenStack (a cloud infrastructure project joint-developed by over one hundred companies). In this scenario, traditional Social Network Analysis (SNA) performed on developers can be augmented with information on the affiliation of the developers in order to
address a range of new questions.

BibTeX entry:

@INPROCEEDINGS{inpRoTeGo14a,
  title = {A Longitudinal Study of an Industrial FLOSS project using Social Network Analysis},
  booktitle = {BElgian-NEtherlands software eVOLution seminar},
  author = {Robles, Gregorio and Teixeira, Jose and Gonzalez-Barahona, Jesus},
  editor = {Bruntink, Magiel and Storm, Tijs van der},
  publisher = {CWI},
  pages = {60–64},
  year = {2014},
  keywords = {software evolution cooperation competition open source fairness mining software repositories social network analysis},
}

Belongs to TUCS Research Unit(s): UTU Information Systems Science (ISS)

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