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N. Ishii, T. Murai, et al., “Text Classification by Combining Grouping, LSA and kNN,” 5th IEEE/ACIS International Conference on Computer and Information Science, Honolulu, 10-12 July 2006, pp. 148-154.

has been cited by the following article:

• TITLE: A Mixed Method Approach for Efficient Component Retrieval from a Component Repository

  AUTHORS: Jasmine Kalathipparambil Sudhakaran, Ramaswamy Vasantha

  KEYWORDS: Software Reuse, Component Retrieval, Vector Space Model Algorithm

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.4 No.7, July 29, 2011

  ABSTRACT: 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.