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Control strategies for self-adaptive software systems
Imperial College London, UK.
Lund University.
University of Brighton , UK.
Universidad de Buenos Aires, Argentina Author.
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2017 (English)In: ACM Transactions on Autonomous and Adaptive Systems, ISSN 1556-4665, E-ISSN 1556-4703, Vol. 11, no 4, article id 24Article, review/survey (Refereed) Published
Abstract [en]

The pervasiveness and growing complexity of software systems are challenging software engineering to design systems that can adapt their behavior to withstand unpredictable, uncertain, and continuously changing execution environments. Control theoretical adaptation mechanisms have received growing interest from the software engineering community in the last few years for their mathematical grounding, allowing formal guarantees on the behavior of the controlled systems. However, most of these mechanisms are tailored to specific applications and can hardly be generalized into broadly applicable software design and development processes. This article discusses a reference control design process, from goal identification to the verification and validation of the controlled system. A taxonomy of the main control strategies is introduced, analyzing their applicability to software adaptation for both functional and nonfunctional goals. A brief extract on how to deal with uncertainty complements the discussion. Finally, the article highlights a set of open challenges, both for the software engineering and the control theory research communities.

Place, publisher, year, edition, pages
ACM Digital Library, 2017. Vol. 11, no 4, article id 24
National Category
Embedded Systems
Research subject
Computer Science, Software Technology
Identifiers
URN: urn:nbn:se:lnu:diva-74991DOI: 10.1145/3024188ISI: 000395848000005Scopus ID: 2-s2.0-85017638966OAI: oai:DiVA.org:lnu-74991DiVA, id: diva2:1213313
Available from: 2018-06-04 Created: 2018-06-04 Last updated: 2021-05-06Bibliographically approved

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Shevtsov, Stepan

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