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Research Article Open Access
The application of computer systems is so widely spread that it can be found in almost all complex equipments. So, reliability of software becomes a major concern as unreliable software may lead to huge economic loss to the organization. A software reliability growth model (SRGM) basically predicts the fault detection coverage in software testing phase. The general problem that is encountered is to minimize the number of remaining faults for a given fixed amount of testing effort and reliability objective. In this paper a general framework of two non homogeneous poisson processes based SRGM models namely Goel okumoto and Delayed S Shaped model are presented. The main objective of these two models is to estimate the faults or failures remaining in the system.