Software Process Control on Ungrouped Data: Log-Power Model

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Provided by: Computer Science Journals
Topic: Software
Format: PDF
Statistical Process Control (SPC) is the best choice to monitor software reliability process. 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 failures which is ungrouped data using an infinite failure mean value function of Log-Power model, which is Non-Homogenous Poisson Process (NHPP) based. The Maximum Likelihood Estimation (MLE) approach is used to estimate the unknown parameters of the model.
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