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 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.
Original language | English |
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Title of host publication | 2022 International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS) |
Subtitle of host publication | [Proceedings] |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 70-76 |
Number of pages | 7 |
ISBN (Electronic) | 9781450393058 |
ISBN (Print) | 781665452120 |
DOIs | |
Publication status | Published - May 2022 |
Event | 17th Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2022 - Pittsburgh, United States Duration: 18 May 2022 → 20 May 2022 |
Conference
Conference | 17th Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2022 |
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Country/Territory | United States |
City | Pittsburgh |
Period | 18/05/22 → 20/05/22 |
Bibliographical note
Funding Information:We thank the participants that contributed input to the study, the reviewers of the survey protocol, and Linnaeus University for hosting the survey. The financial support by Christian Doppler Research Association, the BMDW and the National Foundation for Research, Technology and Development is gratefully acknowledged.
Publisher Copyright:
© 2022 ACM.
Funding
We thank the participants that contributed input to the study, the reviewers of the survey protocol, and Linnaeus University for hosting the survey. The financial support by Christian Doppler Research Association, the BMDW and the National Foundation for Research, Technology and Development is gratefully acknowledged.
Keywords
- difficulties applying self-Adaptation
- feedback loops
- industrial use cases
- motivations
- Self-Adaptation
- survey