Incorporating Generalized Modified Weibull TEF in to Software Reliability Growth Model and Analysis of Optimal Release Policy

Software reliability is generally a key factor in software quality. Reliability is an essential ingredient in customer satisfaction. In software development process reliability conveys the information to managers to access the testing effort and time at which software release into the market. Large numbers of papers are published in this context. In this paper we proposed a software reliability growth model with generalized modified weibull testing effort. Performance application of proposed model is demonstrated through real datasets. The experimental results shown that the model gives an excellent performance compared to other models. We also discuss the optimal release time based on reliability requirement and cost criteria. Notations m (t) : Expected mean number of faults detected in time (0,t] λ (t) : Failure intensity for m(t) n (t) : Fault content function m d (t) : Cumulative number of faults detected up to t. m r (t) : Cumulative number of faults isolated up to t. W (t) : Cumulative testing effort consumption at time t. W*(t) : W (t)-W (0) A : Expected number of initial faults r (t) : Failure detection rate function r : Constant fault detection rate function.