@article{MAKHILLIJSC201712521427,
    title = {A Capability Comparative of Failure Predicting Time Using
Software NHPP Finite Failure Reliability Model},
    journal = {International Journal of Soft Computing},
    volume = {12},
    number = {5},
    pages = {308-312},
    year = {2017},
    issn = {1816-9503},
    doi = {ijscomp.2017.308.312},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2017.308.312},
    author = {Hong-Kyu and},
    keywords = {NHPP,delayed S-formed reliability model,prediction of failure time,laplace trend test,capability,parametres},
    abstract = {This study aims to analyze the predict capability of some of the popular software NHPP finite failure
reliability models (Goel-Okumo Model, delayed S-formed reliability model and Rayleigh distribution model). The
predict capability analysis was performed on two key factors, one pertaining to the degree of goodness of fit
on applied failure time data and the other is comparison of predict capability. The estimation of parameters for
the each model was used maximum likelihood estimation using first 80% of the applied failure time data. The
comparison of predict capability of models was selected by validating against the remaining 20% of the applied
failure time data. Through this study, the findings can be used as priori information for the administrator to
analyze the failure time of the software.}
    }