Software Reliability Growth Model Based on Linear Failure Rate Distribution

A Non Homogenous Poisson Process (NHPP) with its mean value function generated by the cumulative distribution function of linear failure rate distribution is considered. It is modeled to assess the failure phenomenon of a developed software. When the failure data is in the form of number of failures in a given interval of time the model parameters are estimated by moment type estimation method and the performance of the model using three data sets is discussed in comparison with similar other models