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Overcoming experimentation challenges in software ecosystems of large product and service organizations: A participatory action research study
Siemens Foundational Technologies, Munich, Germany.ORCID iD: 0000-0003-0848-8461
Siemens Foundational Technologies, Munich, Germany.
Department of Computer Science and Engineering, Chalmers University of Technology, Göteborg, Sweden.ORCID iD: 0000-0003-2854-722X
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0002-7700-1816
2025 (English)In: Journal of Systems and Software, ISSN 0164-1212, E-ISSN 1873-1228, Vol. 230, article id 112550Article in journal (Refereed) Published
Abstract [en]

Software ecosystems facilitate collaborative innovation and value co-creation among diverse actors through shared technological platforms. However, introducing experimentation practices, such as A/B testing, into these ecosystems within large organizations presents significant challenges due to complex structures, network effects, and complicated organizational dynamics. The challenge is more difficult when it comes to product and service organizations, especially in business-to-business (B2B) or industrial domains. This paper presents an action research study, aiming to overcome the barriers to adopting experimentation-based evolution approaches, conducted within a participating large software-intensive product and service organization, with a vast portfolio of software ecosystems in a wide spectrum of business domains. Following a participatory action research methodology, the research team worked closely with the participating organization through three iterative cycles of planning, action, observation, and reflection. Data sources included a systematic literature review, expert interviews with 25 participants across 17 software ecosystems, and collaborative workshops with internal stakeholders. The study identifies key organizational, technical, and cultural challenges to introducing experimentation in software ecosystems of large organizations, particularly in business-to-business or industrial domains, and exemplifies a roadmap for iteratively addressing such challenges.

Place, publisher, year, edition, pages
Elsevier , 2025. Vol. 230, article id 112550
Keywords [en]
A/B testing, Causal inference, Cyber-physical systems, Experimentation, Software ecosystems
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:mau:diva-78781DOI: 10.1016/j.jss.2025.112550ISI: 001543394100001Scopus ID: 2-s2.0-105011957117OAI: oai:DiVA.org:mau-78781DiVA, id: diva2:1988181
Available from: 2025-08-11 Created: 2025-08-11 Last updated: 2025-08-28Bibliographically approved

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Olsson, Helena Holmström

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