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作 者:Jasmine Kalathipparambil Sudhakaran Ramaswamy Vasantha
机构地区:[1]不详
出 处:《Journal of Software Engineering and Applications》2011年第7期442-445,共4页软件工程与应用(英文)
摘 要:A continuing challenge for software designers is to develop efficient and cost-effective software implementations. Many see software reuse as a potential solution;however, the cost of reuse tends to outweigh the potential benefits. The costs of software reuse include establishing and maintaining a library of reusable components, searching for applicable components to be reused in a design, as well as adapting components toward a proper implementation. In this context, a new method is suggested here for component classification and retrieval which consists of K-nearest Neighbor (KNN) algorithm and Vector space Model Approach. We found that this new approach gives a higher accuracy and precision in component selection and retrieval process compared to the existing formal approaches.A continuing challenge for software designers is to develop efficient and cost-effective software implementations. Many see software reuse as a potential solution;however, the cost of reuse tends to outweigh the potential benefits. The costs of software reuse include establishing and maintaining a library of reusable components, searching for applicable components to be reused in a design, as well as adapting components toward a proper implementation. In this context, a new method is suggested here for component classification and retrieval which consists of K-nearest Neighbor (KNN) algorithm and Vector space Model Approach. We found that this new approach gives a higher accuracy and precision in component selection and retrieval process compared to the existing formal approaches.
关 键 词:SOFTWARE REUSE COMPONENT RETRIEVAL VECTOR Space Model Algorithm
分 类 号:TP39[自动化与计算机技术—计算机应用技术]
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