计算机与数字工程2017，Vol.45Issue(12)：2437-2441,2551,6.DOI:10.3969/j.issn.1672-9722.2017.12.024
结合聚类分析与信息熵赋权的构件选择方法
A New Software Component Selection Method Based on Clustering and Information Entropy Weighting
摘要
Abstract
In order to solve the problem of selecting the most suitable components which meet the needs of users from the search results of component library system by experts,this paper proposes a component selection method based on clustering and in?formation entropy weighting. Firstly,industry experts evaluate and select components again from which automatically retrieved by the system,then the component selection method which proposed in this paper gives a comprehensive component selection result, combining the system automatic retrievals with artificial experience choice,comprehensively evaluating and selecting components from multi-angle so as to select the most optimal and appropriate components to meet the users'needs.This method not only com?bines the overall grasp of the experts on the needs of users and components,but also computes and selects the optimal components through scientific and effective method,so that the selected components can better play to the advantages of software reuse.And this paper also gives an example to analyze and explain the components selection method by the way of experiments,which lays the foun?dation for the further research.Research work in this paper has some theoretical research value and practical significance.关键词
构件选择/最优选择/聚类分析/信息熵/赋权Key words
component selection/optimal choice/clustering analys/information entropy/weighting分类
信息技术与安全科学引用本文复制引用
田帅,汪海涛,姜瑛,陈星..结合聚类分析与信息熵赋权的构件选择方法[J].计算机与数字工程,2017,45(12):2437-2441,2551,6.基金项目
国家自然科学基金项目(编号:61462049)资助. （编号:61462049）
