BDD-based symbolic model checking is capable of verifying systems with a large number of states. In this work, we report an extensible framework to facilitate symbolic encoding and checking of hierarchical systems. Firstly, a novel library of symbolic encoding functions for compositional operators (e.g., parallel composition, sequential composition, choice operator, etc.) are developed so that ...

Symbolic analysis methods for averaged modeling of switching power converters are presented in this paper. A general averaging method suitable for computer-aided modeling is discussed first. Then, a symbolic analysis package that uses this averaging method to automatically generate an analytical averaged model for a switching power converter is described. The package is implemented using the co...

This paper describes the use of a symbolic modeling tool and a methodology we developed for modeling processes in business re-engmeering projects. DECmodel, a symbolic modeling tool, was used to build dynamically activated, working scale models of processes. Models were developed for business, systems, and organizational processes at several levels of detail, and integraled into a large dynamic...

The paper outlines a symbolic modeling approach developed in Glushkov Institute of Cybernetics and applied in verification and model-based testing. This method is the result of 10 years of experience in a large amount of industrial projects in different subject domains. The models in this approach are presented as UCM (Use Case Maps) notation composed with basic protocols formal language. Symbo...

We present the technique that allows splitting first-order logic formulae into parts which helps to use the special algorithms of satisfiability checking and predicate transformer, which are the specializations. We describe the mathematical description of the algorithm of the constructing specializations and a few particular approaches to them, which speed up modeling of industrial models. We p...

The paper deals with some open problems from the area of symbolic and semisymbolic modeling of linear systems, focusing on combining the symbolic, semisymbolic and numeric computation.

The data descriptions of the units are called "symbolic" when they are more complex than standard ones due to the fact that they contain internal variation and are structured. Symbolic data arise from many sources, for instance in order to summarise huge Relational Data Bases by their underlying concepts. "Extracting knowledge" means getting explanatory results, that why, "symbolic objects" are...

The current situation in the eld of computer aided dynamic systems modeling is syrveyed, and the contemporary tools for computer aided modeling are discussed. It is proposed that there is a need also for special purpose modeling tools that are able to manipulate the models without destructing their structure. The role of symbolic calculation in combination with object-oriented modeling is empha...