TY  - JOUR
T1  - A Capability Comparative of Failure Predicting Time Using
Software NHPP Finite Failure Reliability Model
AU - Kwon, Hong-Kyu AU - Kim, Hee-Cheul 
JO  - International Journal of Soft Computing
VL  - 12
IS  - 5
SP  - 308
EP  - 312
PY  - 2017
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2017.308.312
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2017.308.312
KW  - NHPP
KW  -delayed S-formed reliability model
KW  -prediction of failure time
KW  -laplace trend test
KW  -capability
KW  -parametres
AB  - 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.
ER  -