Pareto Type II Software Reliability Growth Model – An Order Statistics Approach

In recent years the size and complexity of the software programs are getting increased and it is very much crucial to generate the software which is reliable, since the failures in the software may create a great loss. Several software reliability growth models exist to predict the reliability of software systems. It is very much necessary to find the reliability function for time domain data based on non-homogeneous Poisson process with a distribution model considering the order statistics approach. The main goal of this paper is to present the Pareto Type II model with order statistics as a software reliability growth model and derive the expressions for Reliability function that facilitates to compute the reliability of a product. The parameters are estimated using the maximum likelihood estimation procedure. The live data sets are analysed and the results are exhibited