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Software Reliability Measuring using Modified Maximum Likelihood Estimation and SPC

by Dr. R Satya Prasad, K Ramchand H Rao, Dr. R.R. L Kantha
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 21 - Number 7
Year of Publication: 2011
Authors: Dr. R Satya Prasad, K Ramchand H Rao, Dr. R.R. L Kantha
10.5120/2527-3440

Dr. R Satya Prasad, K Ramchand H Rao, Dr. R.R. L Kantha . Software Reliability Measuring using Modified Maximum Likelihood Estimation and SPC. International Journal of Computer Applications. 21, 7 ( May 2011), 1-5. DOI=10.5120/2527-3440

@article{ 10.5120/2527-3440,
author = { Dr. R Satya Prasad, K Ramchand H Rao, Dr. R.R. L Kantha },
title = { Software Reliability Measuring using Modified Maximum Likelihood Estimation and SPC },
journal = { International Journal of Computer Applications },
issue_date = { May 2011 },
volume = { 21 },
number = { 7 },
month = { May },
year = { 2011 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume21/number7/2527-3440/ },
doi = { 10.5120/2527-3440 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:07:50.991654+05:30
%A Dr. R Satya Prasad
%A K Ramchand H Rao
%A Dr. R.R. L Kantha
%T Software Reliability Measuring using Modified Maximum Likelihood Estimation and SPC
%J International Journal of Computer Applications
%@ 0975-8887
%V 21
%N 7
%P 1-5
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Software reliability may be used as a measure of the Software system’s success in providing its function properly. Software process improvement helps in finishing with reliable software product. Software process improvement includes monitoring software development practices and actively seeking ways to increase value, reduce errors, increase productivity, and enhance the developer’s environment. Statistical process control (SPC) is one of the best available approaches to monitor and control the software process. SPC is the application of appropriate statistical tools to processes for continuous improvement in quality, reliability of software products and services and productivity in the workforce. In this paper we proposed a control mechanism, based on time between failures observations using Half logistic distribution, with Modified Maximum likelihood Estimation (MMLE) which is based on Non Homogenous Poisson Process (NHPP).

References
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Index Terms

Computer Science
Information Sciences

Keywords

Modified MLE (MMLE) Half logistic Distribution (HLD) Statistical Process Control (SPC) Software reliability Control limits Non Homogenous Poisson Process (NHPP).

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