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Extending UML for the modeling of fuzzy self-adaptive software systems

机译:扩展UML以建立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,旨在解决软件自适应过程中出现的不确定性问题。由于缺乏适当的建模工具,此类系统的构建已显示出比传统系统更具挑战性。为了解决这个问题,我们引入了一种基于UML扩展机制的建模方法,称为模糊自适应ModEling Profile(FAME Profile)。 FAME Profile由与模糊自适应软件系统中的关键概念相对应的一组新的构造型,以及分别提供分析视图,结构视图和行为视图的三种图表组成。 FAME概要文件可以大大简化模糊自适应软件系统的建模,并且可以轻松地并入主流UML开发环境中。我们通过称为FuzzyLon893OPCServer系统的模糊自适应软件系统来说明完整的建模过程。

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