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Over the last four decades, many software reliability growth models have been developed in tracking the growth of reliability as software is being developed. This paper presents the use of SPC in combination with one of those models. Software reliability process can be monitored efficiently using Statistical Process Control (SPC). It assists the software development team to identify and actions to be taken during software failure process and hence, assures better software reliability. The performance of an inflection S-shaped software reliability growth model based on the cumulative observations of failure data is presented using mean value function, which is based on Non-Homogenous Poisson Process (NHPP).
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