Volume 39, Issue 6 (November 2011)

    Software Reliability Growth Model Based on Half Logistic Distribution

    (Received 12 August 2010; accepted 2 June 2011)

    Published Online: 2011


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    A non-homogeneous Poisson process with its mean value function generated by the cumulative distribution function of half logistic distribution is considered. It is modeled to assess the failure phenomenon of developed software. When the failure data are in the form of the number of failures in a given interval of time, the model parameters are estimated by the maximum likelihood method. The performance of the model is compared with two standard models [Goel, A. L., and Okumoto. K., “A Time Dependent Error Detection Rate Model for Software Reliability and Other Performance Measures,” IEEE Trans. Reliab., Vol. 28(3), 1979, pp. 206–211; Yamada , “S-Shaped Reliability Growth Modeling for Software Error Detection,” IEEE Trans. Reliab., Vol. 32(5), 1983, pp. 475–484] using two data sets. The release time of the software subject to a minimum expected cost is worked out and exemplified through illustrations.

    Author Information:

    Rao, B. Srinivasa
    Dept. of Mathematics & Humanities,

    Rao, B. Vara Prasad
    Dept. of Mathematics & Humanities,

    Kantam, R. R. L.
    Dept. of Mathematics & Humanities,

    Stock #: JTE103270

    ISSN: 0090-3973

    DOI: 10.1520/JTE103270

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    Title Software Reliability Growth Model Based on Half Logistic Distribution
    Symposium , 0000-00-00
    Committee C28