English  |  正體中文  |  简体中文  |  Items with full text/Total items : 54367/62174 (87%)
Visitors : 14641936      Online Users : 57
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTHU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    National Tsing Hua University Institutional Repository > 電機資訊學院 > 資訊工程學系 > 期刊論文 >  Enhancing Software Reliability Modeling and Prediction through the Introduction of Time-Variant Fault Reduction Factor

    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/82430

    Title: Enhancing Software Reliability Modeling and Prediction through the Introduction of Time-Variant Fault Reduction Factor
    Authors: C. J. Hsu;C. Y. Huang;J. R. Chang
    教師: 黃慶育
    Date: 2011
    Publisher: Elsevier
    Relation: Applied Mathematical Modelling, Elsevier, Volume 35, Issue 1, January 2011, Pages 506–521
    Keywords: Fault reduction factor (FRF)
    Software reliability growth model (SRGM)
    Software testing
    Non-homogeneous Poisson process (NHPP)
    Optimal release time
    Abstract: Over the past three decades, many software reliability models with different parameters, reflecting various testing characteristics, have been proposed for estimating the reliability growth of software products. We have noticed that one of the most important parameters controlling software reliability growth is the fault reduction factor (FRF) proposed by Musa. FRF is generally defined as the ratio of net fault reduction to failures experienced. During the software testing process, FRF could be influenced by many environmental factors, such as imperfect debugging, debugging time lag, etc. Thus, in this paper, we first analyze some real data to observe the trends of FRF, and consider FRF to be a time-variable function. We further study how to integrate time-variable FRF into software reliability growth modeling. Some experimental results show that the proposed models can improve the accuracy of software reliability estimation. Finally, sensitivity analyses of various optimal release times based on cost and reliability requirements are discussed. The analytic results indicate that adjusting the value of FRF may affect the release time as well as the development cost.
    Relation Link: http://www.elsevier.com/
    URI: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/82430
    Appears in Collections:[資訊工程學系] 期刊論文
    [資訊系統與應用研究所] 期刊論文

    Files in This Item:

    File Description SizeFormat


    SFX Query


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback