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Software Reliability: An Order Statistics Approach using SPC

by N. Supriya, Dr. R. Satya Prasad, G. Krishna Mohan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 35 - Number 6
Year of Publication: 2011
Authors: N. Supriya, Dr. R. Satya Prasad, G. Krishna Mohan
10.5120/4405-6118

N. Supriya, Dr. R. Satya Prasad, G. Krishna Mohan . Software Reliability: An Order Statistics Approach using SPC. International Journal of Computer Applications. 35, 6 ( December 2011), 23-27. DOI=10.5120/4405-6118

@article{ 10.5120/4405-6118,
author = { N. Supriya, Dr. R. Satya Prasad, G. Krishna Mohan },
title = { Software Reliability: An Order Statistics Approach using SPC },
journal = { International Journal of Computer Applications },
issue_date = { December 2011 },
volume = { 35 },
number = { 6 },
month = { December },
year = { 2011 },
issn = { 0975-8887 },
pages = { 23-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume35/number6/4405-6118/ },
doi = { 10.5120/4405-6118 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:21:17.269280+05:30
%A N. Supriya
%A Dr. R. Satya Prasad
%A G. Krishna Mohan
%T Software Reliability: An Order Statistics Approach using SPC
%J International Journal of Computer Applications
%@ 0975-8887
%V 35
%N 6
%P 23-27
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Statistical Process Control Exponential imperfect debugging Mean Value function Probability limits Control Charts WiMAX

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