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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/37230


    Title: Object-oriented software quality through data scope complexity measurement
    Authors: Wang, Ying-hong;Chung, Chi-ming;Shih, Timothy K.;Keh, Huan-chao;Lin, Wei-chuan
    Contributors: 淡江大學資訊工程學系
    Date: 1997-10-12
    Issue Date: 2010-04-15 09:25:32 (UTC+8)
    Publisher: N.Y.: Institute of Electrical and Electronic Engineers (IEEE)
    Abstract: Software metrics is a necessary step for software reliability and quality, and software metrics of traditional procedure-oriented programming are fairly mature and have various methodologies and tools available for use. Object-oriented programming has recently became popular. However, traditional procedure-oriented software metrics are not appropriate for the development of object-oriented software. Some research into object-oriented software metrics has been proposed, but these articles focus on only one metric that measures a specific characteristic of the object-oriented software. The authors propose a new metric methodology, the data scope complexity, for object-oriented software based on the data scope of a program. The data scope complexity can show complexities of multiple features of object-oriented programming at the same time. They also quantify and compare object-oriented programming with procedure-oriented programming
    Relation: Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on (Volume:4 ), pp.3849-3854
    DOI: 10.1109/ICSMC.1997.633271
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Proceeding

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