Time Domain based Software Process Control using Weibull Mean Value Function
نویسندگان
چکیده
Control charts are widely used for process monitoring. Software reliability process can be monitored efficiently by using Statistical Process Control (SPC). It assists the software development team to identify failures and actions to be taken during software failure process and hence, assures better software reliability. In this paper we propose a control mechanism based on the cumulative quantity between observations of time domain failure data using mean value function of Weibull distribution, which is based on Non Homogenous Poisson Process (NHPP). The Maximum Likelihood Estimation (MLE) method is used to derive the point estimators of a two-parameter Weibull distribution. General Terms Software Engineering, Statistical Reliability.
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