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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/95843


    Title: 以資料範圍為基礎之物件導向程式複雜度衡量 Complexity Measurement for Object-Oriented Programming Based on Data Scope
    Authors: 王英宏;林大鈞
    Contributors: 淡江大學資訊工程學系
    Keywords: Object-oriented programming (OOP);Software metrics;Data scope;Programming language;Friend function;Public variable;Protected variable;Private variable
    Date: 2006-06
    Issue Date: 2014-02-13
    Abstract: Software metrics is a necessary step for software reliability and quality. Software metrics technique of traditional procedure-oriented programming is fairly maturity and has various methodologies and tools available for use. Object-oriented programming (OOP) becomes more popular. However, traditional procedure-oriented software metrics are not appropriate for the development of an object-oriented software. Some research of object-oriented software metrics has been proposed. Nevertheless, most of these metrics only focus on one specific characteristic of the object-oriented software. In this paper, a new metric methodology, the data scope complexity is proposed, for object-oriented software based on data scope of a program. The data scope complexity can present complexities of multiple features of object-oriented programming at the same time. Also, the advantages of OOP comparing with procedure-oriented programming are quantified and proved.
    Relation: 第二屆台灣軟體工程研討會暨軟體工程聯盟課程教材成果發表會論文集,6頁
    Appears in Collections:[資訊工程學系暨研究所] 會議論文

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