Control Strategies for Self-Adaptive Software Systems
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Accepted version
Author(s)
Type
Journal Article
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.
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.
Date Issued
2017-02-01
Date Acceptance
2017-02-01
Citation
ACM Transactions on Autonomous and Adaptive Systems, 2017, 11 (4)
ISSN
1556-4703
Publisher
Association for Computing Machinery (ACM)
Journal / Book Title
ACM Transactions on Autonomous and Adaptive Systems
Volume
11
Issue
4
Copyright Statement
© ACM, 2017. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Transactions on Autonomous and Adaptive Systems, Vol. 11, Issue 4, (February 2017) http://doi.acm.org/10.1145/3024188
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000395848000005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science, Information Systems
Computer Science, Theory & Methods
Computer Science
Self-adaptive software
control theory
non-functional properties
formal methods
MODEL-PREDICTIVE CONTROL
HYBRID SYSTEMS
DESIGN
PERFORMANCE
ADAPTATION
DISCRETE
ARCHITECTURES
REQUIREMENTS
VERIFICATION
EVOLUTION
Artificial Intelligence & Image Processing
0801 Artificial Intelligence And Image Processing
1702 Cognitive Science
Publication Status
Accepted
Article Number
ARTN 24