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On the Need for Artifacts to Support Research on Self-Adaptation Mature for Industrial Adoption
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). Katholieke Universiteit Leuven, Belgium.ORCID iD: 0000-0002-1162-0817
Humboldt-Universität zu Berlin, Germany.
2023 (English)In: 2023 IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), IEEE, 2023, p. 86-87Conference paper, Published paper (Refereed)
Abstract [en]

Despite the vast body of knowledge developed by the self-adaptive systems community and the wide use of self-adaptation in industry, it is unclear whether or to what extent industry leverages output of academics. Hence, it is important for the research community to answer the question: Are the solutions developed by the self-adaptive systems community mature enough for industrial adoption? Leveraging a set of empirically-grounded guidelines for industry-relevant artifacts in self-adaptation, we develop a position to answer this question from the angle of using artifacts for evaluating research results in self-adaptation, which is actively stimulated and applied by the community.

Place, publisher, year, edition, pages
IEEE, 2023. p. 86-87
National Category
Computer Sciences
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-126404DOI: 10.1109/seams59076.2023.00020Scopus ID: 2-s2.0-85166293650ISBN: 9798350311921 (electronic)ISBN: 9798350311938 (print)OAI: oai:DiVA.org:lnu-126404DiVA, id: diva2:1826513
Conference
2023 IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), 15-16 May 2023, Melbourne, Australia, ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems
Available from: 2024-01-11 Created: 2024-01-11 Last updated: 2024-02-01Bibliographically approved

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Weyns, Danny

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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