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Monitoring Software Failure Process using Half Logistic Distribution

by R. Satya Prasad, K. Sowmya, R. Mahesh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 145 - Number 4
Year of Publication: 2016
Authors: R. Satya Prasad, K. Sowmya, R. Mahesh
10.5120/ijca2016910535

R. Satya Prasad, K. Sowmya, R. Mahesh . Monitoring Software Failure Process using Half Logistic Distribution. International Journal of Computer Applications. 145, 4 ( Jul 2016), 1-8. DOI=10.5120/ijca2016910535

@article{ 10.5120/ijca2016910535,
author = { R. Satya Prasad, K. Sowmya, R. Mahesh },
title = { Monitoring Software Failure Process using Half Logistic Distribution },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2016 },
volume = { 145 },
number = { 4 },
month = { Jul },
year = { 2016 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume145/number4/25263-2016910535/ },
doi = { 10.5120/ijca2016910535 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:47:50.854686+05:30
%A R. Satya Prasad
%A K. Sowmya
%A R. Mahesh
%T Monitoring Software Failure Process using Half Logistic Distribution
%J International Journal of Computer Applications
%@ 0975-8887
%V 145
%N 4
%P 1-8
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, Software reliability is the anticipation of operations which are free of error in the software in a stated environment during the detailed time duration. Statistical Process Control can survey the gauging of software failure and thereby devote significantly to the enhancement of software reliability. Such an assessment assists the software development team to pinpoint and diagnose their actions during software failure process and hence, assure superior software reliability. A control mechanism planted on the cumulative observations of interval domain failure data using mean value function of the Half Logistic Distribution (HLD) based on Non Homogeneous Poisson Process (NHPP) is proposed. The maximum likelihood estimation approach is used to estimate the unknown parameters of the model. A new mechanism is coded to analyze the observations instead of using regular control charts.

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Index Terms

Computer Science
Information Sciences

Keywords

Statistical Process Control (SPC) Software reliability Probability limits HLD Maximum Likelihood Estimation Failure count data

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