Oleksandr A. Letychevskyi

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The paper relates to practical aspects of insertion model-ing. Insertion modeling system is an environment for the development of insertion machines, used to represent insertion models of distributed systems. The architecture of insertion machines and insertion modeling system IMS is presented. Insertion machine for constraint programming is specified as an(More)
This paper outlines the development of symbolic modelling in white-box testing technology within the scope of an insertion modelling system (IMS). It implements the symbolic execution of the tested system and generate traces that contain a scenario of system behaviour. The obtained traces were checked for conformance with either a formal model for system(More)
This paper is devoted to the whole problem of interleaving reduction in modeling of concurrent processes. The main notions of insertional modeling were described. The verification problem in terms of insertional modeling was examined. General algorithm of interleaving reduction in terms of insertional modeling was presented. A static and incremental(More)
  • Alexander Godlevskyi, Aleksander Letichevskyi, +4 authors Maksym Poltorackiy
  • 2017
This paper outlines the technology of the formalization and verification of legal text documents. A formal model of a legal document is presented as an ordered set of rules. Every rule is presented as a triple containing preand post-conditions, as well as process parts. All rules are ordered in Use Case Maps (UCM) diagrams. Such a formal model can be(More)
The paper presents the usage of invariants technique for symbolic modeling and verification of requirements for reactive systems. It includes checking of the safety, completeness, liveness, and consistency properties, deadlocks and livelocks detection. The paper describes the iterative method of double approximation and the method of undetermined(More)
The talk describes insertion modeling methodology, its theory, implementation and applications. Insertion modeling is a methodology of model driven distributed system design. It is based on the model of interaction of agents and environments. Both agents and environments are characterized by their behaviors represented as the elements of continuous behavior(More)
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