作者: Stefan Joos , Stefan Berner , Martin Glinz
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摘要: The Unified Modeling Language UML and the Open both have introduced stereotypes as a new means for user-defined extensions of given base language. Stereotypes are very powerful feature. They allow modifications ranging from slight notational changes up to redefinition However, power entails risk. Badly designed can do harm modeling In order exploit benefits avoid their risks, better understanding nature properties is necessary.In this paper, we define framework that classifies according expressive power. We identify specific typical applications in each our four categories illustrate them with examples. For category, discuss strengths weaknesses present preliminary set stereotype design guidelines.