Preliminary Results of a Survey on the Use of Self-Adaptation in Industry

April 14, 2022 Β· Declared Dead Β· πŸ› International Symposium on Software Engineering for Adaptive and Self-Managing Systems

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Authors Danny Weyns, Ilias Gerostathopoulos, Nadeem Abbas, Jesper Andersson, Stefan Biffl, Premek Brada, Tomas Bures, Amleto Di Salle, Patricia Lago, Angelika Musil, Juergen Musil, Patrizio Pelliccione arXiv ID 2204.06816 Category cs.SE: Software Engineering Citations 16 Venue International Symposium on Software Engineering for Adaptive and Self-Managing Systems Last Checked 4 months ago
Abstract
Self-adaptation equips a software system with a feedback loop that automates tasks that otherwise need to be performed by operators. Such feedback loops have found their way to a variety of practical applications, one typical example is an elastic cloud. Yet, the state of the practice in self-adaptation is currently not clear. To get insights into the use of self-adaptation in practice, we are running a large-scale survey with industry. This paper reports preliminary results based on survey data that we obtained from 113 practitioners spread over 16 countries, 62 of them work with concrete self-adaptive systems. We highlight the main insights obtained so far: motivations for self-adaptation, concrete use cases, and difficulties encountered when applying self-adaptation in practice. We conclude the paper with outlining our plans for the remainder of the study.
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