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.