@article{MAKHILLIJSC201611421352,
    title = {A Comparative Study of the Software NHPP Based on Weibull
Extension Distribution and Flexible Weibull Extension Distribution},
    journal = {International Journal of Soft Computing},
    volume = {11},
    number = {4},
    pages = {276-281},
    year = {2016},
    issn = {1816-9503},
    doi = {ijscomp.2016.276.281},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2016.276.281},
    author = {Tae-Jin and},
    keywords = {Weibull extension distribution,flexible weibull extension distribution,NHPP,failure,Laplace},
    abstract = {Software testing (debugging) to reduce testing costs is essential for the software reliability. In this
study, the comparative problem for the reliability model using the Weibull extension distribution based on the
generalized order statistics and the flexible Weibull extension distribution which made out efficiency about the
software reliability was proposed. The maximum likelihood estimation and bisection iteration method for the
estimating parameters were used. In addition, the model selection based on the mean square error and
coefficient of the determination for the efficient model were offered. Analysis of the failure time based on the
Weibull extension distribution and the flexible Weibull extension distribution was employed for the proposing
reliability model. The Laplace trend test was employed for the assurance property about the failure time. The
result of this study was obtained that the proposed Weibull extension distribution model than the flexible
Weibull extension model is more efficient in terms of the reliability under a fixed shape parameter condition.
Thus, the Weibull extension distribution model can be used as a reliability alternative model. From this study,
the software developers must be filled to the growth model by a prior knowledge for the software to identify
the failure modes which can be benefited.}
    }