首页> 外文会议>Proceedings of the IASTED international conferences on informatics >EVALUATING STRUCTURAL VALIDITY OF CLASS DIAGRAMS BY MEASURING THE NUMBER OF HIGHLY RESPONSIBLE CLASSES
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EVALUATING STRUCTURAL VALIDITY OF CLASS DIAGRAMS BY MEASURING THE NUMBER OF HIGHLY RESPONSIBLE CLASSES

机译:通过测量高度负责的类的数量来评估类图的结构有效性

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摘要

Design models are often developed using UML class diagrams. Based on past questionnaire surveys reported by Lange and Nugroho, we assumed that the existence of highly responsible classes indicate that a class diagram was created through the proper consideration of the structure of the system. Thus, we analyzed the structure of UML design class diagrams. Specifically, we measured our novel metrics (the amount of highly responsible classes in class diagrams), and investigate the correlations between our metrics and the structural validity of design. In this study, we propose two viewpoints to distinguish large values which indicate high responsibility. Additionally, we conducted the evaluation experiment using 65 design class diagrams, which were originally submitted to a Robot Contest on the domain of embedded systems and evaluated by software development experts based on structural validity. Then the correlations between our novel metrics and the experts' qualitative assessment were analyzed.
机译:设计模型通常使用UML类图进行开发。根据Lange和Nugroho报告的过去的问卷调查,我们假设存在高度负责的类表示通过适当考虑系统的结构创建了类图。因此,我们分析了UML设计类图的结构。具体来说,我们测量了我们的新颖指标(类图中高度负责的类的数量),并研究了指标与设计的结构有效性之间的相关性。在这项研究中,我们提出了两种观点来区分表明高责任感的大价值。此外,我们使用65个设计类图进行了评估实验,这些图最初是提交给嵌入式系统领域的机器人大赛,并由软件开发专家根据结构的有效性进行评估。然后分析了我们的新指标与专家定性评估之间的相关性。

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