Main aim of software industry to produce software product which is of high quality and failure free. Software reliability growth models are helping the industries to produce required quality products by providing a mathematical models based on simulated testing oriented environment. Testing is the one of the costliest phase where several resources were consumed. In the history of software reliability several authors are proposed several research papers on this topic. Software reliability growth models are developed on the basis of data which was obtained during testing phase in the software engineering. In this paper we proposed a new software reliability growth model which is a enhanced model proposed by chiu. Model parameters are estimated through standard procedures. Evaluation criteria are used to analyze the performance of the proposed model and results obtained are compared with existing models. Proposed models seem to be best fit compared to all other models which are proposed earlier. software release time determination is also be done.

Keywords : Software Reliability, Software testing, testers learning, Non-homogeneous Poisson Process (NHPP), Software Cost.