@article{MAKHILLIJSC201712521434,
    title = {A Comparative Study on Software Reliability Models with
Shape Parameter of Type-2 Gumble Life Distribution},
    journal = {International Journal of Soft Computing},
    volume = {12},
    number = {5},
    pages = {351-354},
    year = {2017},
    issn = {1816-9503},
    doi = {ijscomp.2017.351.354},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2017.351.354},
    author = {Hee-Cheul},
    keywords = {Type-2 Gumble life distribution,mean square error,non-homogeneous Poisson process,box plot,mission time,software reliability},
    abstract = {Software reliability is one of the most basic and essential problems in software development. In order
to detect the software failure phenomenon, the intensity function which is the instantaneous failure rate in the
non-homogeneous Poisson process can have the property that it is constant, non-increasing or non-decreasing
independently at the failure time. In this study, was compared the reliability performance of the software
reliability model using the Type-2 Gumble life distribution with the intensity function from increasing to
decreasing pattern in the software product testing process. In order to identify the software failure
phenomenon, the parametric estimation was applied to the maximum likelihood estimation method. Therefore,
in this study, was compared and evaluated software reliability using software failure time data. As a result
because of the smaller the shape parameter of the Type-2 Gumbel distribution is the lower the mean square error,
the model of the smaller the shape parameter relatively efficient properties appears. However, from the reliability
point of view, the reliability of is higher than that of and about shape parameter of the Type-2 Gumble life
distribution. Through this study, the software design department will be able to help the software design by
applying various life distribution and shape parameters and providing basic knowledge using software failure
analysis.}
    }