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A Research Agenda for Smarter Cyber-Physical Systems
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). Katholieke Universiteit Leuven, Belgium.ORCID iD: 0000-0002-1162-0817
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).ORCID iD: 0000-0001-5471-551x
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). (ERES;DISA-SIG)ORCID iD: 0000-0001-6981-0966
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). Mälardalen University, Sweden. (ERES;DISA-SIG)ORCID iD: 0000-0002-2833-7196
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2021 (English)In: Journal of Integrated Design & Process Science, ISSN 1092-0617, E-ISSN 1875-8959, Vol. 25, no 2, p. 27-47Article in journal (Refereed) Published
Abstract [en]

With the advancing digitisation of society and industry we observe a progressing blending of computational, physical, and social processes. The trustworthiness and sustainability of these systems will be vital for our society. However, engineering modern computing systems is complex as they have to: i) operate in uncertain and continuously changing environments, ii) deal with huge amounts of data, and iii) require seamless interaction with human operators. To that end, we argue that both systems and the way we engineer them must become smarter. With smarter we mean that systems and engineering processes adapt and evolve themselves through a perpetual process that continuously improves their capabilities and utility to deal with the uncertainties and amounts of data they face. We highlight key engineering areas: cyber-physical systems, self-adaptation, data-driven technologies, and visual analytics, and outline key challenges in each of them. From this, we propose a research agenda for the years to come.

Place, publisher, year, edition, pages
IOS Press, 2021. Vol. 25, no 2, p. 27-47
Keywords [en]
Smarter systems, trustworthiness, sustainability, cyber-physical systems, self-adaptation
National Category
Computer Sciences Software Engineering
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-106841DOI: 10.3233/JID210010ISI: 000806149900002Scopus ID: 2-s2.0-85122031282Local ID: 2021OAI: oai:DiVA.org:lnu-106841DiVA, id: diva2:1591923
Available from: 2021-09-07 Created: 2021-09-07 Last updated: 2022-09-29Bibliographically approved

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Weyns, DannyAndersson, JesperCaporuscio, MauroFlammini, FrancescoKerren, AndreasLöwe, Welf

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