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Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). Katholieke Universiteit Leuven, Belgium.ORCID iD: 0000-0002-1162-0817
Vrije Universiteit Amsterdam, Netherlands.
Masaryk University, Czech Republic.
Universidad de los Andes, Colombia.
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2022 (English)In: Software Engineering Notes: an Informal Newsletter of The Specia, ISSN 0163-5948, E-ISSN 1943-5843, Vol. 47, no 4, p. 18-24Article in journal (Other academic) Published
Abstract [en]

Artifacts support evaluating new research results and help comparing them with the state of the art in a field of interest. Over the past years, several artifacts have been introduced to support research in the field of self-adaptive systems. While these artifacts have shown their value, it is not clear to what extent these artifacts support research on problems in self-adaptation that are relevant to industry. This paper provides a set of guidelines for artifacts that aim at supporting industry-relevant research on selfadaptation. The guidelines that are grounded on data obtained from a survey with practitioners were derived during working sessions at the 17th International Symposium on Software Engineering for Adaptive and Self-Managing Systems. Artifact providers can use the guidelines for aligning future artifacts with industry needs; they can also be used to evaluate the industrial relevance of existing artifacts. We also propose an artifact template.

Place, publisher, year, edition, pages
ACM Press, 2022. Vol. 47, no 4, p. 18-24
National Category
Software Engineering
Research subject
Computer Science, Software Technology
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URN: urn:nbn:se:lnu:diva-126843DOI: 10.1145/3561846.3561852OAI: oai:DiVA.org:lnu-126843DiVA, id: diva2:1828710
Available from: 2024-01-17 Created: 2024-01-17 Last updated: 2024-02-05Bibliographically approved

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Weyns, Danny

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