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A comparative analysis of industrial involvement and licensing in the open source software ecosystems of four IoT standards
Universidad Rey Juan Carlos, Madrid, Spain.ORCID iD: 0000-0002-1442-6761
University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. (Software Systems Research Group (SSRG))ORCID iD: 0000-0003-2700-2535
University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. (Software Systems Research Group (SSRG))ORCID iD: 0000-0002-2825-135X
Combitech AB, Linköping, Sweden.ORCID iD: 0000-0002-2161-164X
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2026 (English)In: Journal of Systems and Software, ISSN 0164-1212, E-ISSN 1873-1228, Vol. 234, article id 112708Article in journal (Refereed) Published
Abstract [en]

Context: IoT standards are vital for interoperability and longevity, with Open Source Software (OSS) implementations preventing vendor lock-in. These implementations form vast software ecosystems on platforms like GitHub, where industrial participation is crucial. Goal: This study characterizes industrial involvement (participation, leadership, collaboration) across the software ecosystems of four IoT standards (LwM2M, NB-IoT, CoAP, Zigbee) from different standards-setting organizations. It also investigates how software licensing, particularly OSS licenses, reflects and shapes this involvement. Method: We analyzed software projects related to these standards that are publicly available on the GitHub platform, examining authorship of commits, bug reports, pull requests, and metadata like licenses. We identified organizational affiliations (corporate or academic) of contributors to assess their presence and leadership. We performed a licensing analysis to understand the legal frameworks governing these projects. Results: Our research shows significant diversity in ecosystem scale and activity, with a consistent pattern of major corporate and organizational leadership in highly active projects. Despite robust institutional involvement, a pervasive issue is the widespread absence of explicit software licenses, even in collaborative and active repositories. When licenses are present, permissive OSS licenses (e.g., Apache-2.0, MIT) dominate. This indicates a complex and often ambiguous legal landscape. Conclusion: IoT standard ecosystem growth is driven by established organizations. Addressing the prevalent lack of licensing is crucial for fostering clearer collaboration, mitigating legal risks, and ensuring long-term sustainability and adoption of these foundational technologies. 

Place, publisher, year, edition, pages
Elsevier, 2026. Vol. 234, article id 112708
Keywords [en]
Empirical analysis, Involvement, Licenses, Open source software, Software ecosystems, Standards, Ecosystems, Laws and legislation, Nuclear reactor licensing, Open systems, Comparative analyzes, Corporates, License, Open-source softwares, Organisational, Software implementation, Software license
National Category
Software Engineering Computer Sciences
Research subject
Software Systems Research Group (SSRG)
Identifiers
URN: urn:nbn:se:his:diva-26079DOI: 10.1016/j.jss.2025.112708ISI: 001641321400001Scopus ID: 2-s2.0-105024435875OAI: oai:DiVA.org:his-26079DiVA, id: diva2:2023005
Funder
Knowledge Foundation
Note

CC BY 4.0

© 2025 The Author(s)

April 2026

Correspondence Address: G. Robles; Universidad Rey Juan Carlos, Madrid, Spain; email: gregorio.robles@urjc.es; CODEN: JSSOD

Declaration of competing interest

The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Gregorio Robles reports financial support was provided by Swedish Knowledge Foundation (KK-stiftelsen). Björn Lundell reports financial support was provided by Swedish Knowledge Foundation (KK-stiftelsen). Jonas Gamalielsson reports financial support was provided by Swedish Knowledge Foundation (KK-stiftelsen). If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgments

We acknowledge the use of Google Gemini to ensure linguistic accuracy and enhance the readability of this article. This research has been financially supported by the Swedish Knowledge Foundation (KK-stiftelsen) and participating partner organizations in the SUDO project. The authors are grateful for the stimulating collaboration and support from colleagues and partner organizations.

Available from: 2025-12-18 Created: 2025-12-18 Last updated: 2025-12-29Bibliographically approved

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Robles, GregorioGamalielsson, JonasLundell, BjörnBrax, ChristofferMattsson, Anders

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