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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/21029


    Title: A multilingual code search engine based on the Bayesian approach
    Authors: 魏世杰;Wei, Shih-chieh;Pan, Chien-ming
    Contributors: 淡江大學資訊管理學系
    Keywords: Knowledge Management;Information Retrieval;Data Mining;Bayesian Belief Network
    Date: 2003
    Issue Date: 2009-11-30 13:10:53 (UTC+8)
    Publisher: International Credit Insurance & Surety Association (ICISA)
    Abstract: As more new languages are evolved and libraries developed, it has become
    increasingly difficult for programmers to get familiar with all the usage of them. Therefore,
    it will be of great help if the programmers can find the desired functions or even better the
    sample source codes as soon as they want. While there are already many tools developed for
    document retrieval, most of them are only suitable for text documents, not for source codes.
    To accommodate this increasing demand for source code retrieval for programmers, we
    propose a search system for sample programs. It is based on a revised Bayesian belief
    network model which allows the programmer to use free text in either Chinese or English to
    locate the right function and samples that they want. A comparison with traditional search
    models is made.
    Relation: Communications of the ICISA 5(2), pp.48-66
    DOI: 
    Appears in Collections:[資訊管理學系暨研究所] 期刊論文

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