Title :
Towards the UML evaluation using taxonomic patterns on meta-classes
Author :
Ma, Haohai ; Ji, Zhe ; Shao, Weizhong ; Zhang, Lu
Author_Institution :
Software Inst., Peking Univ., Beijing, China
Abstract :
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 meta-classes 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.
Keywords :
Unified Modeling Language; data models; formal specification; meta data; software quality; UML evaluation; formal specification; meta-classes; meta-model; software quality; taxonomic patterns; Application software; Computer science; Context modeling; Costs; Design engineering; Investments; Software quality; Software systems; Unified modeling language; Weapons; Meta-class; Software Quality; Software evaluation; UML;
Conference_Titel :
Quality Software, 2005. (QSIC 2005). Fifth International Conference on
Print_ISBN :
0-7695-2472-9
DOI :
10.1109/QSIC.2005.70