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Weyns, D., Andersson, J., Caporuscio, M., Flammini, F., Kerren, A. & Löwe, W. (2021). A Research Agenda for Smarter Cyber-Physical Systems. Journal of Integrated Design & Process Science, 25(2), 27-47
Open this publication in new window or tab >>A Research Agenda for Smarter Cyber-Physical Systems
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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
Amsterdam, Netherlands: IOS Press, 2021
Keywords
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:nbn:se:liu:diva-185663 (URN)10.3233/JID210010 (DOI)000806149900002 ()
Available from: 2022-06-08 Created: 2022-06-08 Last updated: 2022-08-01Bibliographically approved
Martins, R. M., Ericsson, M., Weyns, D. & Kucher, K. (Eds.). (2021). Proceedings of the 2021 Swedish Workshop on Data Science (SweDS). Paper presented at 2021 Swedish Workshop on Data Science (SweDS), Växjö, Sweden, December 2-3, 2021. IEEE
Open this publication in new window or tab >>Proceedings of the 2021 Swedish Workshop on Data Science (SweDS)
2021 (English)Conference proceedings (editor) (Refereed)
Abstract [en]

Welcome to the 9th Swedish Workshop on Data Science (SweDS21) held (virtually) in Växjö, Sweden during December 2–3, 2021. SweDS is a national event with a focus of maintaining and developing Swedish data science research and its applications by fostering the exchange of ideas and promoting collaboration within and across disciplines. This annual workshop brings together researchers and practitioners of data science working in a variety of academic, commercial, industrial, or other sectors. The current and past workshops have included presentations from a variety of domains, e.g., computer science, linguistics, eco- nomics, archaeology, environmental science, education, journalism, medicine, healthcare, biology, sociology, psychology, history, physics, chemistry, geography, forestry, design, and music. SweDS is hosted by Linnaeus University (Växjö, Sweden) this year. Due to the yet ongoing COVID-19 pandemic, travel restrictions, and public health concerns, the workshop is conducted online-only, which has allowed authors both within and outside of Sweden to submit and present their work. 

Place, publisher, year, edition, pages
IEEE, 2021
Keywords
data science
National Category
Computer Sciences
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
urn:nbn:se:liu:diva-181838 (URN)10.1109/SweDS53855.2021 (DOI)9781665418300 (ISBN)
Conference
2021 Swedish Workshop on Data Science (SweDS), Växjö, Sweden, December 2-3, 2021
Projects
DISA
Available from: 2021-12-14 Created: 2021-12-14 Last updated: 2022-11-22Bibliographically approved
Kucher, K. & Weyns, D. (2013). A Self-Adaptive Software System to Support Elderly Care. In: Proceedings of Modern Information Technology, MIT, 2013: . Paper presented at Modern Information Technology (MIT), 25-26 April, 2013, Odessa. Odessa, Ukraine: Odessa National Polytechnic University (ONPU)
Open this publication in new window or tab >>A Self-Adaptive Software System to Support Elderly Care
2013 (English)In: Proceedings of Modern Information Technology, MIT, 2013, Odessa, Ukraine: Odessa National Polytechnic University (ONPU) , 2013Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Odessa, Ukraine: Odessa National Polytechnic University (ONPU), 2013
National Category
Software Engineering
Research subject
Computer Science, Software Technology
Identifiers
urn:nbn:se:liu:diva-189541 (URN)
Conference
Modern Information Technology (MIT), 25-26 April, 2013, Odessa
Available from: 2022-10-24 Created: 2022-10-24 Last updated: 2024-05-06
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-1162-0817

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