Abstract

The rapid development in the software component technology increases the number of components, reasonable component classification is the foundation to achieve effective retrieval. The former methods like faceted classification and full text retrieval methods and some traditional methods have always some subjective factors to achieve it. The user is not able to satisfy with these methods. So from the point of user requirements, grade strategy is introduced, which gives each facet different weight, and the similarity between the components. A component clustering algorithm based on the grade strategy is proposed. They prove that component clustering algorithm based on the grade strategy makes the component clustering result more humanized and better serve user requirements.

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