Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation

dc.contributor.authorDanny Weyns
dc.contributor.authorIlias Gerostathopoulos
dc.contributor.authorBarbora Bühnová
dc.contributor.authorNicolás Cardozo
dc.contributor.authorEmilia Cioroaica
dc.contributor.authorIvana Dusparić
dc.contributor.authorLars Grunske
dc.contributor.authorPooyan Jamshidi
dc.contributor.authorChristine Julien
dc.contributor.authorJudith Michael
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T14:55:26Z
dc.date.available2026-03-22T14:55:26Z
dc.date.issued2022
dc.descriptionCitaciones: 6
dc.description.abstractArtifacts 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.
dc.identifier.doi10.1145/3561846.3561852
dc.identifier.urihttps://doi.org/10.1145/3561846.3561852
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/49345
dc.language.isoen
dc.publisherAssociation for Computing Machinery
dc.relation.ispartofACM SIGSOFT Software Engineering Notes
dc.sourceKU Leuven
dc.subjectArtifact (error)
dc.subjectRelevance (law)
dc.subjectComputer science
dc.subjectAdaptation (eye)
dc.subjectField (mathematics)
dc.subjectSet (abstract data type)
dc.subjectSoftware
dc.subjectData science
dc.subjectKnowledge management
dc.titleGuidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation
dc.typearticle

Files