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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/37154

    Title: Software testing and metrics for concurrent computation through task decomposition
    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: 1997-10-28
    Issue Date: 2010-04-15 09:31:41 (UTC+8)
    Publisher: N.Y.: Institute of Electrical and Electronic Engineers (IEEE)
    Abstract: Software testing is an important approach to assure the reliability and quality of software. Sequential programming testing is a fairly sophisticated process and concurrent programming has emerged in the past few years. Some concurrent program testing methodologies are proposed to solve controlled execution and determinism. However, there are few discussions of concurrent software testing from the inter-task viewpoint. The paper focuses the testing view on concurrent programming through task decomposition. Four testing criteria are proposed to test a concurrent program. The programmer can choose an appropriate testing strategy depending on the properties of concurrent programs. A coverage criteria hierarchy is provided. Moreover, two suggestions for concurrent programming based on rendezvous complexity are made
    Relation: Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on (Volume:2 ), pp.1857-1861
    DOI: 10.1109/ICIPS.1997.669379
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Proceeding

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