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Time Domain based Software Process Control using Weibull Mean Value Function

by R.Satya Prasad, G.Krishna Mohan, R.R.L Kantham
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 18 - Number 3
Year of Publication: 2011
Authors: R.Satya Prasad, G.Krishna Mohan, R.R.L Kantham
10.5120/2265-2916

R.Satya Prasad, G.Krishna Mohan, R.R.L Kantham . Time Domain based Software Process Control using Weibull Mean Value Function. International Journal of Computer Applications. 18, 3 ( March 2011), 18-21. DOI=10.5120/2265-2916

@article{ 10.5120/2265-2916,
author = { R.Satya Prasad, G.Krishna Mohan, R.R.L Kantham },
title = { Time Domain based Software Process Control using Weibull Mean Value Function },
journal = { International Journal of Computer Applications },
issue_date = { March 2011 },
volume = { 18 },
number = { 3 },
month = { March },
year = { 2011 },
issn = { 0975-8887 },
pages = { 18-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume18/number3/2265-2916/ },
doi = { 10.5120/2265-2916 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:05:20.555247+05:30
%A R.Satya Prasad
%A G.Krishna Mohan
%A R.R.L Kantham
%T Time Domain based Software Process Control using Weibull Mean Value Function
%J International Journal of Computer Applications
%@ 0975-8887
%V 18
%N 3
%P 18-21
%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 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.

References
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  2. Koutras, M.V., Bersimis, S., Maravelakis,P.E., 2007. “Statistical process control using shewart control charts with supplementary Runs rules” Springer Science + Business media 9:207-224.
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  6. Pham. H., 1993. “Software reliability assessment: Imperfect debugging and multiple failure types in software development”. EG&G-RAAM-10737 Idaho National Engineering Laboratory.
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  9. Swapna S. Gokhale and Kishore S.Trivedi, 1998. “Log-Logistic Software Reliability Growth Model”. The 3rd IEEE International Symposium on High-Assurance Systems Engineering. IEEE Computer Society.
  10. Xie, M., Goh. T.N., Ranjan.P., “Some effective control chart procedures for reliability monitoring” -Reliability engineering and System Safety 77 143 -150¸ 2002.
Index Terms

Computer Science
Information Sciences

Keywords

Statistical Process Control Software reliability Weibull Distribution Mean Value function Probability limits Control Charts

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