Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation
Abstract
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 self-adaptation. 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.
Authors 17
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Linnaeus University · KU Leuven
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Katholieke Universiteit Leuven ;
Linnaeus University ;
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Vrije Universiteit Amsterdam ;
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Masaryk University ;
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Universidad de los Andes ;
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Fraunhofer Institute for Experimental Software Engineering
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Fraunhofer IESE ;
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Trinity College Dublin ;
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Humboldt-Universität zu Berlin
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Humboldt-Universität zu Berlin ;
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University of South Carolina ;
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The University of Texas at Austin
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University of Texas Austin ;
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Judith Michael Aachen
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RWTH Aachen University ;
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University of Ottawa ;
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Gran Sasso Science Institute ;
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Katholieke Universiteit Leuven ;
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Universidade de Brasília ;
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Carnegie Mellon University ;
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University of Coimbra ;
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Carnegie Mellon University ;
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