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Experiences and challenges from developing cyber-physical systems in industry-academia collaboration
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-2021-8341
Department of Communication Science, University of Teramo, Teramo, Italy.
Department of Political Science, University of Teramo, Teramo, Italy.
Research and Development, Westermo Network Technologies AB, Västerås, Sweden.
2024 (English)In: Software, practice & experience, ISSN 0038-0644, E-ISSN 1097-024XArticle in journal (Refereed) Published
Abstract [en]

Cyber-physical systems (CPSs) are increasing in developmental complexity. Several emerging technologies, such as Model-based engineering, DevOps, and Artificial intelligence, are expected to alleviate the associated complexity by introducing more advanced capabilities. The AIDOaRt research project investigates how the aforementioned technologies can assist in developing complex CPSs in various industrial use cases. In this paper, we discuss the experiences of industry and academia collaborating to improve the development of complex CPSs through the experiences in the research project. In particular, the paper presents the results of two working groups that examined the challenges of developing complex CPSs from an industrial and academic perspective when considering the previously mentioned technologies. We present five identified challenge areas from developing complex CPSs and discuss them from the perspective of industry and academia: data, modeling, requirements engineering, continuous software and system engineering, as well as intelligence and automation. Furthermore, we highlight practical experience in collaboration from the project via two explicit use cases and connect them to the challenge areas. Finally, we discuss some lessons learned through the collaborations, which might foster future collaborative efforts. 

Place, publisher, year, edition, pages
John Wiley and Sons Ltd , 2024.
Keywords [en]
challenges, cyber-physical systems, industry-academia collaboration, lessons learned
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-65678DOI: 10.1002/spe.3312ISI: 001143810000001Scopus ID: 2-s2.0-85182415072OAI: oai:DiVA.org:mdh-65678DiVA, id: diva2:1830905
Available from: 2024-01-24 Created: 2024-01-24 Last updated: 2024-01-31Bibliographically approved

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Cederbladh, Johan

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