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

Authors :
Weyns, Danny
Gerostathopoulos, Ilias
Buhnova, Barbora
Cardozo, Nicolas
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
Source :
ACM SIGSOFT Software Engineering Notes. 47:18-24
Publication Year :
2022
Publisher :
Association for Computing Machinery (ACM), 2022.

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.<br />7 pages

Details

ISSN :
01635948
Volume :
47
Database :
OpenAIRE
Journal :
ACM SIGSOFT Software Engineering Notes
Accession number :
edsair.doi.dedup.....54d0f6d03bc558e452914eb4ca6c8fba
Full Text :
https://doi.org/10.1145/3561846.3561852