Estimation of Goodness of Fit of the HGM Model and Comparing it with PARETO Type II Model

摘要

As the usage of software is growing rapidly, accessing the software reliability is a critical task in development of a software system. So, many Software Reliability Growth Models (SRGM) are used in order to decide upon the reliable/unreliable of the developed software very quickly. The Hyper exponential growth model which contains two parameters is adopted for interval domain data based on Non Homogeneous Poisson Process (NHPP) which is used in assessing the reliability of developed software [1]. The parameters are estimated using Maximum Likelihood Estimator. In this project, we will compare the goodness of fit of our model with other models by applying some criteria like PRR.