Organizational Influencers in Open-Source Software Projects

Faculty/Professorship: University of Bamberg  
Author(s): Schreiber, Roland Robert
Publisher Information: Bamberg : Otto-Friedrich-Universität
Year of publication: 2023
Pages: 1-20
Source/Other editions: International journal of open source software and processes : IJOSSP, 14 (2023), 1, S. 1-20 - ISSN: 1942-3934
is version of: 10.4018/IJOSSP.318400
Year of first publication: 2023
Language(s): English
Licence: Creative Commons - CC BY - Attribution 4.0 International 
URN: urn:nbn:de:bvb:473-irb-584768
Traditional software development is shifting toward the open-source development model, particularly in the current environment of competitive challenges to develop software openly. The author employs a case study approach to investigate how organizations and their affiliated developers collaborate in the open-source software (OSS) ecosystem TensorFlow (TF). The analysis of the artificial intelligence OSS library TF combines social network analysis (SNA) and an examination of archival data by mining software repositories. The study looks at the structure and evolution of code-collaboration among developers and with the ecosystem's organizational networks over the TF lifespan. These involved organizations play a particularly critical role in development. The research also looks at productivity, homophily, development, and diversity among developers. The results deepen the understanding of OSS communities' collaborative developer and organization patterns. Furthermore, the study emphasizes the importance and evolution of social networks, diversity, and productivity in ecosystems.
GND Keywords: Open Source; Ökosystem; Evolution; Netzwerkanalyse <Soziologie>; Softwareentwicklung; TensorFlowST 650
Keywords: Ecosystem, Evolution, Open-Source, Organizational Influence, Social Network Analysis, Software Development, TensorFlow
DDC Classification: 004 Computer science  
RVK Classification: ST 650   
Type: Article
Release Date: 26. May 2023

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