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

fYear

2005

fDate

19-20 Sept. 2005

Firstpage

37

Lastpage

44

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Quality Software, 2005. (QSIC 2005). Fifth International Conference on

ISSN

1550-6002

Print_ISBN

0-7695-2472-9

Type

conf

DOI

10.1109/QSIC.2005.70

Filename

1579118