ABSTRACT Software reliability plays an integral part in the software development process. Growth in the use of IT in today’s interconnected world precipitates the production of reliable software systems considering the potential loss and damage due to failure. Several software reliability growth models exist to predict the reliability of software systems. Non-homogeneous Poisson process (NHPP) is a probabilistic model for determining software reliability. Application of order statistics is a relatively new technique for estimating software reliability for time domain data based on NHPP with a distribution model. This paper presents the Burr Type III model as a software reliability growth model and derives the expressions for an efficient reliability function using order statistics. The parameters are estimated using the maximum likelihood (ML) estimation procedure. The live data sets are analysed and the results are exhibited.
