Analysis of Delayed S Shaped Software Reliability Growth Model with Time Dependent Fault Content Rate Function

Many software reliability growth models based upon a non-homogeneous Poisson process (NHPP) have been proposed to measure and asses the of system quantitatively. Generally, error detection rate fault content function during testing is considered be dependent on elapsed time testing. In this paper we three (SRGM’s) incorporating notion generation over as an extension delayed S-shaped model (NHPP). The parameters are estimated using maximum likelihood method for interval domain data sets provided illustrate estimation technique. compared with existing sum squares, mean predictive ratio risk Akaike’s information criteria different sets. We show that perform satisfactory better than models.