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Software Reliability: An Order Statistics Approach using SPC

International Journal of Computer Applications
© 2011 by IJCA Journal
Volume 35 - Number 6
Year of Publication: 2011
N. Supriya
Dr. R. Satya Prasad
G. Krishna Mohan

N Supriya, Dr. Satya R Prasad and Krishna G Mohan. Article: Software Reliability: An Order Statistics Approach using SPC. International Journal of Computer Applications 35(6):23-27, December 2011. Full text available. BibTeX

	author = {N. Supriya and Dr. R. Satya Prasad and G. Krishna Mohan},
	title = {Article: Software Reliability: An Order Statistics Approach using SPC},
	journal = {International Journal of Computer Applications},
	year = {2011},
	volume = {35},
	number = {6},
	pages = {23-27},
	month = {December},
	note = {Full text available}


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 proposed a control mechanism based on order statistics of the cumulative quantity between observations of time domain failure data using mean value function of Exponential imperfect debugging, which is based on Non Homogenous Poisson Process (NHPP). The Maximum Likelihood Estimation (MLE) method is used to derive the point estimators of the distribution.


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