TY - JOUR
T1 - Control strategies for self-adaptive software systems
AU - Filieri, Antonio
AU - Maggio, Martina
AU - Angelopoulos, Konstantinos
AU - D'Ippolito, Nicolás
AU - Gerostathopoulos, Ilias
AU - Hempel, Andreas Berndt
AU - Hoffmann, Henry
AU - Jamshidi, Pooyan
AU - Kalyvianaki, Evangelia
AU - Klein, Cristian
AU - Krikava, Filip
AU - Misailovic, Sasa
AU - Papadopoulos, Alessandro V.
AU - Ray, Suprio
AU - Sharifloo, Amir M.
AU - Shevtsov, Stepan
AU - Ujma, Mateusz
AU - Vogel, Thomas
N1 - Publisher Copyright:
© 2017 ACM.
PY - 2017/2
Y1 - 2017/2
N2 - 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.
AB - 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.
KW - Control theory
KW - Formal methods
KW - Non-functional properties
KW - Self-adaptive software
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U2 - 10.1145/3024188
DO - 10.1145/3024188
M3 - Review article
AN - SCOPUS:85017638966
SN - 1556-4665
VL - 11
JO - ACM Transactions on Autonomous and Adaptive Systems
JF - ACM Transactions on Autonomous and Adaptive Systems
IS - 4
M1 - 24
ER -