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Traditional statistical analysis methods account for natural variation but require aggregation of measurements over time, which can delay decision making. Statistical Process Control (SPC) is a branch of statistics that combines rigorous time series analysis methods with graphical presentation of data, often yielding insights into the data more quickly and in a way more understandable to lay decision makers .SPC and its primary tool-the control chart-provide researchers and practitioners with a method of better understanding and communicating data from software reliability improvement process efforts .This paper provides an s-shaped software reliability growth model based on the Non-Homogenous Poisson Process (NHPP).The maximum likelihood approach is used to estimate the unknown parameters of the model.
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