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Formal Modeling and Verification of Self-* Systems Based on Observer/Controller-Architectures

Florian Nafz, Jan-Philipp Steghöfer, Hella Seebach, Wolfgang Reif

Self-* systems have the ability to adapt to a changing environment and to compensate component failures by reorganizing themselves. However, as these systems make autonomous decisions, their behavior is hard to predict. Without behavioral guarantees their acceptance, especially in safety critical applications, is arguable. This chapter presents a rigorous specification and verification approach for self-* systems that allows giving behavioral guarantees despite of the unpredictability of self-* properties. It is based on the Restore Invariant Approach that allows the developer to define a corridor of correct behavior in which the system shows the expected properties. The approach defines relies (behavior the components can expect) and guarantees (behavior that each component will provide) to specify the general requirements on the interaction between the components of the system on a formal basis. If heterogeneous multi-agent systems with self-* properties are modeled so that relies are implied by the other components’ guarantees, it is possible to formally verify correct system behavior. When using observer/controller architectures the approach also allows systematic decomposition and modular verification. We illustrate the approach by applying it to two different case studies – an adaptive production cell and autonomous virtual power plants.
in: Berlin Heidelberg Assurances for Self-Adaptive Systems, Lecture Notes in Computer Science, Vol. 7740

Publisher: Springer-Verlag Berlin Heidelberg


ISBN: 978-3-642-36248-4


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