Abstract. We define the dynamic semantics of UML State Machines which integrate statecharts with the UML object model. The use of ASMs allows us (a) to rigorously model the event driven run to completion scheme, including the sequential execution of entry/exit actions (along the structure of state nesting) and the concurrent execution of internal activities; (b) to formalize the object interaction, by combining control and data flow features in a seamless way; and (c) to provide a precise but nevertheless provably most general computational meaning to the UML terms of atomic and durative actions/activities. We borrow some features from the rigorous description of UML Activity Diagrams by ASMs in [7].
Feedback control loops that monitor and adapt managed parts of a software system are considered crucial for realizing self-adaptation in software systems. The MAPE-K (Monitor-Analyze-Plan-Execute over a shared Knowledge) autonomic control loop is the most influential reference control model for self-adaptive systems. The design of complex distributed self-adaptive systems having decentralized adaptation control by multiple interacting MAPE components is among the major challenges. In particular, formal methods for designing and assuring the functional correctness of the decentralized adaptation logic are highly demanded.
This article presents a framework for formal modeling and analyzing self-adaptive systems. We contribute with a formalism, called
self-adaptive Abstract State Machines
, that exploits the concept of multiagent Abstract State Machines to specify distributed and decentralized adaptation control in terms of MAPE-K control loops, also possible instances of MAPE patterns. We support validation and verification techniques for discovering unexpected interfering MAPE-K loops, and for assuring correctness of MAPE components interaction when performing adaptation.
Abstract. We present CoMA (Conformance Monitoring by Abstract State Machines), a specification-based approach and its supporting tool for runtime monitoring of Java software. Based on the information obtained from code execution and model simulation, the conformance of the concrete implementation is checked with respect to its formal specification given in terms of Abstract State Machines. At runtime, undesirable behaviors of the implementation, as well as incorrect specifications of the system behavior are recognized. The technique we propose makes use of Java annotations, which link the concrete implementation to its formal model, without enriching the code with behavioral information contained only in the abstract specification. The approach fosters the separation between implementation and specification, and allows the reuse of specifications for other purposes (formal verification, simulation, model-based testing, etc.).
In this paper, we present a SoC design methodology joining the capabilities of UML and SystemC to operate at systemlevel. We present a UML 2.0 profile of the SystemC language exploiting the MDA capabilities of defining modeling languages, platform independent and reducible to platform dependent languages. The UML profile captures both the structural and the behavioral features of the SystemC language, and allows high level modeling of system-on-a-chip with straightforward translation to SystemC code.
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