Control Strategies for Self-Adaptive Software Systems

被引:42
|
作者
Filieri, Antonio [1 ]
Maggio, Martina [2 ]
Angelopoulos, Konstantinos
D'Ippolito, Nicolas
Gerostathopoulos, Ilias
Hempel, Andreas Berndt
Hoffmann, Henry
Jamshidi, Pooyan
Kalyvianaki, Evangelia
Klein, Cristian
Krikava, Filip
Misailovic, Sasa
Papadopoulos, Alessandro V.
Ray, Suprio
Sharifloo, Amir M.
Shevtsov, Stepan
Ujma, Mateusz
Vogel, Thomas
机构
[1] Imperial Coll London, London, England
[2] Lund Univ, Lund, Sweden
关键词
Self-adaptive software; control theory; non-functional properties; formal methods; MODEL-PREDICTIVE CONTROL; PERFORMANCE; DISCRETE; CHECKING; DESIGN; REQUIREMENTS; VERIFICATION; FRAMEWORK;
D O I
10.1145/3024188
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
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页数:31
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