Abstract
The Reliability of the Software Process can be monitored efficiently using Statistical Process Control (SPC). SPC is the application of statistical techniques to control a process. SPC is a study of the best ways of describing and analyzing the data and then drawing conclusion or inferences based on available data. With the help of SPC the software development team can identify software failure process and find out actions to be taken which assures better software reliability. This paper provides a control mechanism based on the cumulative observations of Interval domain data using mean value function of Pareto type IV distribution, which is based on Non-Homogenous Poisson Process (NHPP). The unknown parameters of the model are estimated using maximum likelihood estimation approach. Besides it also presents an analysis of failure data sets at a particular point and compares Pareto Type II and Pareto Type IV models.
Highlights
Software Reliability is the most dynamic quality characteristic which can measure and predict the operational quality of the software system during its intended life cycle
The Non-Homogenous Poisson Process (NHPP) based software reliability growth models are proved quite successful in practical software reliability engineering [Musa et al, 1987]
There are numerous software reliability growth models available for use according to probabilistic assumptions
Summary
Software Reliability is the most dynamic quality characteristic which can measure and predict the operational quality of the software system during its intended life cycle. To identify and eliminate human errors in software development process and to improve software reliability, the Statistical Process Control concepts and methods are the best choice. SPC concepts and methods are used to monitor the performance of a software process over time in order to verify that the process remains in the state of Statistical control. It helps in finding assignable causes, long term improvements in the software process. Software quality and reliability can be achieved by eliminating the causes or improving the software process or its operating procedures [4].
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