Weyns, D., Gerostathopoulos, I., Abbas, N., Andersson, J., Biffl, S., Brada, P., Bures, T., DI SALLE, A., Lago, P., Musil, A., Musil, J., & Pelliccione, P. (2022). Preliminary Results of a Survey on the Use of Self-Adaptation in Industry. In 2022 International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS) (pp. 70–76). ACM. https://doi.org/10.1145/3524844.3528077
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 largescale 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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Project title:
Verbesserung der Sicherheit von Informationsprozessen in Produktionssystemen: CDL SQI (CDG Christian Doppler Forschungsgesellschaft; CDG Christian Doppler Forschungsgesellschaft)
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Research Areas:
Computer Engineering and Software-Intensive Systems: 50% Information Systems Engineering: 50%