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Software Engineering Meets Control Theory

Abstract : The software engineering community has proposed numerous approaches for making software self-adaptive. These approaches take inspiration from machine learning and control theory, constructing software that monitors and modifies its own behavior to meet goals. Control theory, in particular, has received considerable attention as it represents a general methodology for creating adaptive systems. Control-theoretical software implementations, however, tend to be ad hoc. While such solutions often work in practice, it is difficult to understand and reason about the desired properties and behavior of the resulting adaptive software and its controller. This paper discusses a control design process for software systems which enables automatic analysis and synthesis of a controller that is guaranteed to have the desired properties and behavior. The paper documents the process and illustrates its use in an example that walks through all necessary steps for self-adaptive controller synthesis.
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Submitted on : Sunday, April 12, 2015 - 6:00:18 PM
Last modification on : Tuesday, December 6, 2022 - 12:42:13 PM
Long-term archiving on: : Tuesday, April 18, 2017 - 4:48:39 PM


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  • HAL Id : hal-01119461, version 1


Antonio Filieri, Martina Maggio, Konstantinos Angelopoulos, Nicolas d'Ippolito, Ilias Gerostathopoulos, et al.. Software Engineering Meets Control Theory. Proceedings of the 10th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), May 2015, Firenze, Italy. pp.71-82. ⟨hal-01119461⟩



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