This paper presents an approach for transforming UML Statecharts to General Stochastics Petri Nets. Unified Modelling Language (UML) is considered to be the standarditized language for modelling and describing systems behaviours for analysis. In other hand, Petri Net models are tools for the performance analysis of distributed systems. Graph grammars aims to bridge the gap between semi formal models generated by UML and formal notation as LGSPN models by means of transformations.Since the models wihch are concerned by this transformation are both graphs, we use Java based graph transformation and Eclipse tool to perform this process automatically.
UML is considered as the standard for object-oriented modelling language adopted by the Object Management Group. However, UML has been criticized due to the lack of formal semantics and the ambiguity of its models. In other hands, UML models can be mathematically verified and checked by using its equivalent formal representation. So, in this paper, we propose an approach and a tool based on graph transformation to perform an automatic mapping for verification purposes. This transformation aims to bridge the gap between informal and formal notations and allows a formal verification of concurrent UML models using Maude language. We consider both static (Class Diagram) and dynamic (StateChart and Communication Diagrams) features of concurrent object-oriented system. Then, we use Maude LTL Model Checker to verify the formal model obtained (Automatic Code Generation Maude). The meta-modelling AToM 3 tool is used. A case study is presented to illustrate our approach.
This paper proposes an approach integrating UML 2.0 Activity Diagrams (UML2-AD) and Communicating Sequential Process (CSP) for modeling and verication of software systems. A UML2-AD is used for modeling a software system while CSP is used for verication purposes. The proposed approach consists of another way of transforming UML2-AD models to Communicating Sequential Process (CSP) models. It focuses also on checking the correctness of some properties of the transformation itself. These properties are specified using Linear Temporal Logic (LTL) and verified using the GROOVE model checker. This approach is based on Model Driven Engineering (MDE). The meta-modelling is realized using AToMPM tool while the model transformation and the correctness of its properties are realized using GROOVE tool. Finally, we illustrated this approach through a case study.
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