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

Weyns, Danny (author)
Linnéuniversitetet,Institutionen för datavetenskap och medieteknik (DM),Katholieke Universiteit Leuven, Belgium,DISA;Adaptwise
Gerostathopoulos, Ilias (author)
Vrije Universiteit Amsterdam, Netherlands
Abbas, Nadeem, 1980- (author)
Linnéuniversitetet,Institutionen för datavetenskap och medieteknik (DM),DISA;DISA-SIG
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Andersson, Jesper, 1970- (author)
Linnéuniversitetet,Institutionen för datavetenskap och medieteknik (DM)
Biffl, Stefan (author)
CDL-SQI Tu Wien, Austria
Brada, Premek (author)
University of West Bohemia, Czech Republic
Bures, Tomas (author)
Charles University, Czech Republic
Salle, Amleto Di (author)
University of L'Aquila, Italy
Lago, Patricia (author)
Vrije Universiteit Amsterdam, Netherlands
Musil, Angelika (author)
Katholieke Universiteit Leuven, Belgium
Musil, Juergen (author)
CDL-SQI Tu Wien, Austria
Pelliccione, Patrizio (author)
Gran Sasso Science Institute, Italy
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 (creator_code:org_t)
2022-08-15
2022
English.
In: Proceedings - 17th Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2022. - New York, NY, USA : IEEE. - 9781450393058 ; , s. 70-76
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • 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. © 2022 ACM.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Keyword

Adaptive systems; Concretes; Feedback; Motivation
Difficulty applying self-adaptation; Feedback loops; Industrial use case; Large-scales; Self- adaptations; Self-adaptive system; Software-systems; State of the practice; Survey data
Surveys
Computer Science
Datavetenskap

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