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Extending UML for the Modeling of Fuzzy Self-Adaptive Software Systems

机译:扩展UML以进行模糊自适应软件系统的建模

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Fuzzy self-adaptive software systems are a kind of fuzzy-control-based systems that are proposed to deal with the emerging uncertainty problem in the software self-adaptation process. The construction of such systems has shown to be significantly more challenging than traditional systems as a lack of appropriate modeling tools. To address this problem, we introduce a modeling approach, entitled Fuzzy self-Adaptation ModEling Profile (FAME Profile), which is based on the extension mechanisms of UML. FAME Profile consists of a set of new stereotypes that correspond to the key concepts within fuzzy self-adaptive software systems, and three kinds of diagrams that provide analysis view, structural view and behavioral view respectively. The FAME Profile can considerably ease the modeling of fuzzy self-adaptive software systems and can be easily incorporated into main stream UML development environments. We illustrate the complete modeling process through a fuzzy self-adaptive software system called FuzzyLon893OPCServer System.
机译:模糊自适应软件系统是一种基于模糊控制的系统,建议在软件自适应过程中处理新出现的不确定性问题。由于缺乏适当的建模工具,这些系统的构建明显比传统系统更具挑战性。为了解决这个问题,我们介绍了一种建模方法,题为模糊自适应建模配置文件(名誉配置文件),其基于UML的扩展机制。名望个人资料包括一组新的刻板印象,其对应于模糊自适应软件系统中的关键概念,以及分别提供分析视图,结构视图和行为视图的三种图。 FAME型材可以大大缓解模糊自适应软件系统的建模,并且可以轻松地结合到主流UML开发环境中。我们通过模糊自适应软件系统说明了完全建模过程,称为Fuzzylon893opcServer系统。

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