A multilingual code search engine based on the Bayesian approach

淡江大學機構典藏 > 商管學院 > 資訊管理學系暨研究所 > 期刊論文 > Item 987654321/21029

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题名:	A multilingual code search engine based on the Bayesian approach
作者:	魏世杰;Wei, Shih-chieh;Pan, Chien-ming
贡献者:	淡江大學資訊管理學系
关键词:	Knowledge Management;Information Retrieval;Data Mining;Bayesian Belief Network
日期:	2003-01
上传时间:	2009-11-30 13:10:53 (UTC+8)
出版者:	International Credit Insurance & Surety Association (ICISA)
摘要:	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.
關聯:	Communications of the ICISA 5(2), pp.48-66
显示于类别:	[資訊管理學系暨研究所] 期刊論文

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