期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2012
卷号：2
期号：2
出版社：S.S. Mishra
摘要：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 develop ment team to identify failures and actions to be taken duri ng software failure process and hence, assures better software reliability. If not many, few researchers proposed SPC based software reliability monitoring techniques to improve Software Reliability Process. 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 and Goel-Oku moto distribution, which are based on Non Homogenous Poisson Process (NHPP). The Maximum Likelihood Estimation (MLE) method is used to derive the point estimators of the distributions
关键词：Statistical Process Control; Software reliability; Weibull Distribution; Goel-Okumoto distribution; Mean Value function; ;Probability limits; Control Charts
