Development of a fuzzy GERT-model for investigating common software vulnerabilities

This paper has determined the relevance of issue related to improving accuracy results mathematical modeling software security testing process. The fuzzy GERT-modeling methods have been analyzed. necessity and possibility formalization process studying vulnerabilities under conditions fuzziness input intermediate data determined. To this end, based on apparatus network modeling, a GERT model built for investigating vulnerabilities. A distinctive feature is take into consideration probabilistic characteristics transitions from state along with time characteristics. As part simulation, following stages study were performed. schematically describe procedures vulnerabilities, structural constructed. "reference model" developed was described in form standard network. algorithm equivalent transformations improved, which differs known ones by considering capabilities extended range typical structures parallel branches between neighboring nodes. Analytical expressions are presented calculate average spent probability successful completion studies each node. calculation these probabilistic-temporal carried out accordance simplified Comparative conducted confirm reliability obtained. experiment showed that comparison reference model, characteristic conducting reduced, made it possible improve simulation results.