Generating a Performance Stochastic Model from UML Specifications

Since its initiation by Connie Smith, the process of Software Performance Engineering (SPE) is becoming a growing concern. The idea is to bring performance evaluation into the software design process. This suitable methodology allows software designers to determine the performance of software during design. Several approaches have been proposed to provide such techniques. Some of them propose to derive from a UML (Unified Modeling Language) model a performance model such as Stochastic Petri Net (SPN) or Stochastic process Algebra (SPA) models. Our work belongs to the same category. We propose to derive from a UML model a Stochastic Automata Network (SAN) in order to obtain performance predictions. Our approach is more flexible due to the SAN modularity and its high resemblance to UML' state-chart diagram

Stochastic Bounds for Microprocessor Systems Availability

International audienceThis paper proposes a constraint programming based approach to handle ontologies consistency, and more precisely user-defined consistencies. In practice, ontologies consistency is not still well handled in the current software environments. This is due to the algorithmic and language limitations of the tools developed to handle the consistency constraints. The idea of this paper is to tackle this problem by exploiting constraint programming which is proved to be efficient and provides various techniques to handle many types of constraints on different domains