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

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Authors

WEYNS Danny GEROSTATHOPOULOS Ilias BÜHNOVÁ Barbora CARDOZO Nicolás CIOROAICA Emilia DUSPARIC Ivana GRUNSKE Lars JAMSHIDI Pooyan JULIEN Christine MICHAEL Judith MORENO Gabriel NEJATI Shiva PELLICCIONE Patrizio QUIN Federico RODRIGUES Genaina SCHMERL Bradley VIEIRA Marco VOGEL Thomas WOHLRAB Rebekka

Year of publication 2022
Type Article in Periodical
Magazine / Source ACM SIGSOFT Software Engineering Notes
MU Faculty or unit

Faculty of Informatics

Citation
Web https://dl.acm.org/doi/abs/10.1145/3561846.3561852
Doi http://dx.doi.org/10.1145/3561846.3561852
Keywords Software engineering; self-adaptive systems; artifacts evaluation; guidelines; industry
Description 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.
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