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Fifth International Conference on Quality Software (QSIC'05)
Towards the UML Evaluation Using Taxonomic Patterns on Meta-Classes
Melbourne, Australia
September 19-September 20
ISBN: 0-7695-2472-9
Haohai Ma, Inner Mongolia University, China
Zhe Ji, Peking University, China
Weizhong Shao, Peking University, China
Lu Zhang, Peking University, China
In order to evaluate the design quality of the UML, understanding meta-classes is a key activity as they are the primary weapons by which the UML specifies the application domains. The paper introduces taxonomic patterns for clustering the UML metaclasses based on the observation of their evolution and fitness. The result sets of the patterns assist in finding the evidence of the concerns about the UML design and quality. It not only helps to find out problematic meta-classes, possible design defects of the UML and the inconsistency between the UML meta-models and the application domains; but also provides valuable information for guiding the development and evaluation of the UML. The work can be the basis of further quality analysis of the UML meta-models.
Index Terms:
Software evaluation, Software Quality,UML, Meta-class
Citation:
Haohai Ma, Zhe Ji, Weizhong Shao, Lu Zhang, "Towards the UML Evaluation Using Taxonomic Patterns on Meta-Classes," qsic, pp.37-44, Fifth International Conference on Quality Software (QSIC'05), 2005
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