From UML statecharts diagrams to labeled Generalized Stochastic Petri Net models using graph transformation

M. Bouarioua, A. Chaoui, R. Elmansouri
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Abstract

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.
使用图形转换从UML状态图到标记的广义随机Petri网模型
本文提出了一种将UML状态图转换为通用随机Petri网的方法。统一建模语言(UML)被认为是用于建模和描述用于分析的系统行为的标准化语言。另一方面,Petri网模型是用于分布式系统性能分析的工具。图语法旨在通过转换弥合UML生成的半形式化模型和作为LGSPN模型的形式化符号之间的差距。由于此转换所涉及的模型都是图,因此我们使用基于Java的图转换和Eclipse工具来自动执行此过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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