首页> 外文会议>IFIP 16th World Computer Congress 2000 and Conference on Software: Theory and Practice August 21-25, 2000, Beijing, China >An Evidential Framework for Diagnosing the Significance of Inconsistencies in UML Models
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An Evidential Framework for Diagnosing the Significance of Inconsistencies in UML Models

机译:诊断UML模型中不一致意义的证据框架

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This paper presents a diagnostic framework for assessing the significance of inconsistencies in design models of software systems expressed in the Unified Modelling Language (UML). This assessment is based on significance criteria which software designers have to specify and associate with specific consistency rules. These criteria are defined in terms of characteristics of the model elements involved in the breach of a consistency rule. The framework establishes belief functions which measure the extent to which it may be believed from the model that an element has a characteristic, and uses them to derive beliefs for the signifiance critiera. Results of a set of preliminary experiments conducted to evaluate the framework are also presented.
机译:本文提出了一种诊断框架,用于评估以统一建模语言(UML)表示的软件系统设计模型中不一致的重要性。该评估基于重要标准,软件设计人员必须指定这些重要标准并与特定的一致性规则相关联。这些标准是根据违反一致性规则所涉及的模型元素的特征来定义的。该框架建立了信念函数,该信念函数测量了可以从模型中相信某个元素具有某种特征的程度,并使用它们来为有意义的批评者得出信念。还介绍了进行初步评估以评估框架的结果。

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