Quantitative analysis of dependability critical systems based on UML statechart models

The paper introduces a method which allows quantitative performance and dependability analysis of systems modeled by using UML statechart diagrams. The analysis is performed by transforming the UML model to Stochastic Reward Nets (SRN). A large subset of statechart model elements is supported including event processing, state hierarchy and transition priorities. The transformation is presented by a set of SRN design patterns. Performance measures can be directly derived using SRN tools, while dependability analysis requires explicit modeling of erroneous states and faulty behavior.