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Y. Yang and J. O. Pedersen, “A Comparative Study on Feature Selection in Text Categorization,” Proceedings of the 14th International Conference on Machine Learning, Nashville, 8-12 July 1997, pp. 412-420.

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.