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Control Strategies for Self-Adaptive Software Systems

Authors: Filieri, Antonio; Maggio, Martina; Angelopoulos, Konstantinos; D'Ippolito, Nicolás; Gerostathopoulos, Ilias; Hempel, Andreas Berndt; Hoffmann, Henry; +12 Authors

Control Strategies for Self-Adaptive Software Systems

Abstract

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.

Countries
United Kingdom, Argentina
Keywords

Technology, formal methods, Theory & Methods, non-functional properties, 0801 Artificial Intelligence And Image Processing, ARCHITECTURES, Non-Functional Properties, Formal Methods, control theory, DESIGN, VERIFICATION, Artificial Intelligence, Self-adaptive software, Artificial Intelligence & Image Processing, https://purl.org/becyt/ford/1.2, Control Theory, ADAPTATION, https://purl.org/becyt/ford/1, Science & Technology, DISCRETE, 000, HYBRID SYSTEMS, 1702 Cognitive Science, PERFORMANCE, EVOLUTION, 004, Informatik, Self-Adaptive Software, Computer Science, MODEL-PREDICTIVE CONTROL, REQUIREMENTS, Information Systems

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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59
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