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    National Tsing Hua University Institutional Repository > 電機資訊學院 > 資訊工程學系 > 會議論文  >  An artificial neural-network-based approach to software reliability assessment

    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/13676

    Title: An artificial neural-network-based approach to software reliability assessment
    Authors: Su,Yu-Shen
    教師: 陳宜欣
    Date: 2007
    Publisher: Institute of Electrical and Electronics Engineers Inc
    Relation: IEEE Region 10,21-24 Nov. 2005 Page(s):1-6
    Keywords: Software reliability
    Combinatorial mathematics
    Failure analysis
    Mathematical models
    Neural networks
    Real time systems
    Software testing
    Abstract: In this paper, we propose an artificial neural-network-based approach for software reliability estimation and modeling. We first explain the network networks from the mathematical viewpoints of software reliability modeling. That is, we will show how to apply neural network to predict software reliability by designing different elements of neural networks. Furthermore, we will use the neural network approach to build a dynamic weighted combinational model. The applicability of proposed model is demonstrated through four real software failure data sets. From experimental results, we can see that the proposed model significantly outperforms the traditional software reliability models.
    Relation Link: http://ieeexplore.ieee.org/Xplore/dynhome.jsp
    URI: http://nthur.lib.nthu.edu.tw/handle/987654321/13676
    Appears in Collections:[資訊工程學系] 會議論文
    [資訊系統與應用研究所] 會議論文

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