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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/34053

    Title: 學生程式碼相似度之研究 : 以抄襲偵測之應用為例
    Other Titles: Research on detection of similarity in student programs : with application to detection of plagiarism
    Authors: 林世唐;Lin, Shih-tang
    Contributors: 淡江大學資訊管理學系碩士班
    魏世杰;Wei, Shih-chieh
    Keywords: 程式比對;結構度量;抄襲偵測;反轉文件頻率法;Program Compare;Structure Metric;Plagiarism Detection;Inverse Document Frequency
    Date: 2005
    Issue Date: 2010-01-11 04:50:17 (UTC+8)
    Abstract: 程式的相似判斷不像文字那麼複雜,比起文字的語法來說,程式的文法更有
    相似,不具抄襲意義。另一方面,在資訊檢索領域有IDF (Inverse Document
    Frequency, 反轉文件頻率法)的概念,發生頻率高的片段較不具意義,發生頻率
    低的片段較具意義。因此我們提出以IDF 為主的新方法,幫助我們找出發生頻率
    低的相似片段組,視為較有抄襲可能性之片段。並用開放式(open book)的一次考
    Similarity detection on programs is simpler than on text documents. Compared to
    text documents, the grammar used in program languages is easier to define. As a
    result, more and more applications are developed to detect program similarity. One
    practical use of these appications is to detect plagiarism for educational purposes. In
    particular, when students have test or homework on programs where they can open
    books to consult the examples, they may copy from the example programs without
    much thinking and rewriting. In this case, we will find many similar code tiles that are
    copied from the same example but of little value in plagiarism detection. So in this
    paper based on the IDF (Inverse Document Frequency) concept from information
    retrieval ,we propose a new method to reduce the influence of high frequency code
    tiles, and compare with traditional non-IDF result using the datasets from an
    open-book program test and a homework.
    Appears in Collections:[Graduate Institute & Department of Information Management] Thesis

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