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Robust Quantification by Analyzing Attribute Graph Data Model

机译:通过分析属性图数据模型进行稳健的量化

摘要

The system and method generate a plurality of weighted attribute graph data models representing the system architecture. Each model represents a hierarchical directed configuration and a hierarchical directed decomposition of a pair of first instances of a design dimension by a plurality of vertices and corresponding connected first vertices representing a plurality of instances of a design dimension of the system architecture. A second weighted edge comprising a plurality of weighted edges connecting the pair of first vertices, each representing an information exchange interface between a pair of second instances of design dimensions represented by pairs of corresponding second vertices respectively; It includes different numbers of weighted interface edges connecting pairs of vertices. Each intermediate hierarchical cluster of the model is generated and correlated with the model with the most weighted interface edges to quantify the robustness of the system architecture.
机译:该系统和方法生成代表系统体系结构的多个加权属性图数据模型。每个模型通过多个顶点表示设计维度的一对第一实例的分层定向配置和分层定向分解,并且对应的连接的第一顶点表示系统体系结构的设计维度的多个实例。第二加权边包括连接一对第一顶点的多个加权边,每个加权边代表一对设计尺寸的第二个第二实例之间的信息交换界面,分别由成对的相应第二个顶点表示;它包括不同数量的连接一对顶点的加权界面边。生成模型的每个中间层次集群,并与接口边缘权重最大的模型相关联,以量化系统体系结构的鲁棒性。

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