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

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 · 2204.06816

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

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

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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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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. 2022-04-14. Preliminary Results of a Survey on the Use of Self-Adaptation in Industry. https://arxiv.org/abs/2204.06816

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