关键词: 软件复用, 构件库, 数据挖掘, 决策树, 决策支持

Abstract: The retrieval efficiency of the component library includes not only the retrieval efficiency of the component itself, but also the efficiency of the understanding of component. General component retrieval system provides descriptive information on understanding the component simply, but seldom provides information from the aspect of reusing actually. Data Mining technologies provide a feasible approach for effective decision support. In this paper, the application of decision-tree-based classification method was discussed. It could excavate the cryptic knowledge in component user feedback information, and enable the relevant personnel in the component library to understand the component from the aspect of using the component actually. DM solutions improved possibility and quality of reusing. In the end, the feasibility and validity of this method were verified through experiments.

Key words:  software reuse, component library, data mining, decision-tree, decision support