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Control Strategies for Self-Adaptive Software Systems
Imperial College London, UK.
Lund University, Sweden.
University of Brighton, UK.
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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 in journal (Refereed) Published
Abstract [en]

The pervasiveness and growing complexity of software systems is challenging software engineering to de- sign systems that can adapt their behavior to withstand unpredictable, uncertain, and continuously chang- ing execution environments. Control theoretical adaptation mechanisms received a growing interest from the software engineering community in the last 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 paper 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 non-functional goals. A brief extract on how to deal with uncertainty complements the discussion. Finally, the paper highlights a set of open challenges, both for the software engineering and the control theory research communities.

Place, publisher, year, edition, pages
2017. Vol. 11, no 4, article id 24
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Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-34079DOI: 10.1145/3024188ISI: 000395848000005Scopus ID: 2-s2.0-85017638966OAI: oai:DiVA.org:mdh-34079DiVA, id: diva2:1056879
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Future factories in the CloudAvailable from: 2016-12-15 Created: 2016-12-13 Last updated: 2020-10-22Bibliographically approved

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Papadopoulos, Alessandro

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