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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/45477

    Title: A quantitative analysis for different testing criteria through program decomposition
    Authors: 莊淇銘;Chung, Chi-ming;施國琛;Shih, Timothy K.;王英宏;Wang, Ying-hong
    Contributors: 淡江大學資訊工程學系
    Keywords: Logic testing;Software testing;System testing;Computer languages;Network address translation;Continuous wavelet transforms;Automatic testing;Logic programming;Programming profession
    Date: 1996-09
    Issue Date: 2010-03-26 19:22:51 (UTC+8)
    Publisher: Elsevier
    Abstract: Many software testing criteria have been proposed which demonstrate different testing capacities. However, there is still less research exploring what the quantitative difference is among different testing criteria. A quantitative difference among different criteria is apparently a good guideline for selecting appropriate testing methodologies. All-statements and all-branches testing criteria are well known, and both of them have been widely applied in software testing. This research infers a quantitative analysis to measure the difference between the all-statements criterion and all-branches criterion. The quantitative analysis provides a theoretical basis for measuring testing efforts between different testing methodologies. A testing metric is proposed to compare the all-statements criterion with all-branches. A CASE tool for this metric is presented.
    Relation: Information Sciences 93(3-4), pp.211-233
    DOI: 10.1109/STRQA.1994.526383
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Journal Article

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