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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. In this paper, the authors propose a control mechanism based on the cumulative observations of interval domain failure data using mean value function (average number of failures) of Weibull model, which is based on Non-Homogenous Poisson Process (NHPP). The maximum likelihood estimation approach is used to estimate the unknown parameters of the model.
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