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Theoretical Analysis of Entropy Distance Metric for UML Class Diagrams

机译:UML类图的熵距离度量的理论分析

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摘要

Although the entropy distance metric for UML (Unified modeling language) class diagrams overcomes some limitations of previous metrics by reason that it considers relationships among classes, it ignores complexity of classes themselves. This paper deeply analyzes and evaluates the essence and behaviors of the metric from theoretic aspects. Furthermore, some problems are pointed out, such as the structure complexity of a class diagram cannot be computed or the result is incorrect, and the structure complexities of two class diagrams cannot be distinguished, and so on.
机译:尽管用于UML(统一建模语言)类图的熵距离度量由于考虑了类之间的关系而克服了先前度量的某些限制,但它忽略了类本身的复杂性。本文从理论角度对指标的本质和行为进行了深入的分析和评价。此外,还指出了一些问题,例如无法计算类图的结构复杂性或结果不正确,无法区分两个类图的结构复杂性,等等。

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