Pavol Barger

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Colored Petri Nets (CPN) are a powerful, recognized and intuitive modelling tool. They allow a precise representation of distributed, embedded and/or real time systems. These models can be then used among others for the dependability assessment. This paper develops a new method of CPN analysis called the Backward reachability. It provides information about(More)
This paper presents the Backward reachability which is a structural analysis method applicable to Colored Petri Nets (CPN). This method avoids the fastidious computation of simulation and the combinatorial explosion of reachable state space. The backward reachability provides the information about different ways of reaching a particular CPN marking. This(More)
European railway systems are in a constant technological progression combined with an international interoperability and standardization. This need gave birth to the European Rail Traffic Management System (ERTMS) with the goal to provide the basic framework to the interoperable rail signaling and train control. The analysis, verification and validation of(More)
Embedded systems development creates a need of new design, verification and validation technics. Formal methods appear as a very interesting approach for embedded systems analysis, especially for dependability studies. The chosen formalism for this work is based on Colored Petri Net (CPN)for two main reasons : the expressivity and the formal nature. Also,(More)
This paper deals with a formal method for the study of the backward reachability analysis applied on Colored Petri Nets (CPN). The proposed method proceeds in two steps : 1) it translates CPN to terms of the Multiplicative Intuitionistic Linear Logic (MILL); 2) it proves sequents by constructing proof trees. The translation from CPN to MILL must respect(More)
This paper deals with a new method to study dependability of distributed systems using Colored Petri Nets (CPN) which are a powerful, recognized and intuitive modelling tool. They allow a precise representation of the studied systems. The CPN analysis gives information about static and dynamic behavior of the modelled system and can be used to study(More)
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