article

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

ACM SIGSOFT Software Engineering Notes, Volume 47, Issue 4

Pages 18 - 24

https://doi.org/10.1145/3561846.3561852

Published: 28 September 2022 Publication History

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 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.

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Cited By

Li JZhang MLi NWeyns DJin ZTei K(2024)Generative AI for Self-Adaptive Systems: State of the Art and Research RoadmapACM Transactions on Autonomous and Adaptive Systems10.1145/368680319:3(1-60)Online publication date: 30-Sep-2024
https://dl.acm.org/doi/10.1145/3686803
Caldas RGarcía JSchiopu MPelliccione PRodrigues GBerger T(2024)Runtime Verification and Field-Based Testing for ROS-Based Robotic SystemsIEEE Transactions on Software Engineering10.1109/TSE.2024.344469750:10(2544-2567)Online publication date: 19-Aug-2024
https://dl.acm.org/doi/10.1109/TSE.2024.3444697
Weyns DGerostathopoulos IAbbas NAndersson JBiffl SBrada PBures TDi Salle AGalster MLago PLewis GLitoiu MMusil AMusil JPatros PPelliccione P(2023)Self-Adaptation in Industry: A SurveyACM Transactions on Autonomous and Adaptive Systems10.1145/358922718:2(1-44)Online publication date: 28-May-2023
https://dl.acm.org/doi/10.1145/3589227
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cover image ACM SIGSOFT Software Engineering Notes

ACM SIGSOFT Software Engineering Notes Volume 47, Issue 4

October 2022

31 pages

ISSN:0163-5948

DOI:10.1145/3561846

Editor:
Jacopo Soldani
University of Pisa, Italy

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Copyright © 2022 Copyright is held by the owner/author(s).

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

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Published: 28 September 2022

Published in SIGSOFT Volume 47, Issue 4

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Cited By

Li JZhang MLi NWeyns DJin ZTei K(2024)Generative AI for Self-Adaptive Systems: State of the Art and Research RoadmapACM Transactions on Autonomous and Adaptive Systems10.1145/368680319:3(1-60)Online publication date: 30-Sep-2024
https://dl.acm.org/doi/10.1145/3686803
Caldas RGarcía JSchiopu MPelliccione PRodrigues GBerger T(2024)Runtime Verification and Field-Based Testing for ROS-Based Robotic SystemsIEEE Transactions on Software Engineering10.1109/TSE.2024.344469750:10(2544-2567)Online publication date: 19-Aug-2024
https://dl.acm.org/doi/10.1109/TSE.2024.3444697
Weyns DGerostathopoulos IAbbas NAndersson JBiffl SBrada PBures TDi Salle AGalster MLago PLewis GLitoiu MMusil AMusil JPatros PPelliccione P(2023)Self-Adaptation in Industry: A SurveyACM Transactions on Autonomous and Adaptive Systems10.1145/358922718:2(1-44)Online publication date: 28-May-2023
https://dl.acm.org/doi/10.1145/3589227
Malik SNaqvi MMoonen L(2023)CHESS: A Framework for Evaluation of Self-Adaptive Systems Based on Chaos Engineering2023 IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)10.1109/SEAMS59076.2023.00033(195-201)Online publication date: May-2023
https://doi.org/10.1109/SEAMS59076.2023.00033
Weyns DVogel T(2023)On the Need for Artifacts to Support Research on Self-Adaptation Mature for Industrial Adoption2023 IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)10.1109/SEAMS59076.2023.00020(86-87)Online publication date: May-2023
https://doi.org/10.1109/SEAMS59076.2023.00020

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