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Software Reliability Estimation Models: A Comparative Analysis

by Feroza Haque, Sanjay Bansal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 43 - Number 13
Year of Publication: 2012
Authors: Feroza Haque, Sanjay Bansal
10.5120/6164-8573

Feroza Haque, Sanjay Bansal . Software Reliability Estimation Models: A Comparative Analysis. International Journal of Computer Applications. 43, 13 ( April 2012), 27-31. DOI=10.5120/6164-8573

@article{ 10.5120/6164-8573,
author = { Feroza Haque, Sanjay Bansal },
title = { Software Reliability Estimation Models: A Comparative Analysis },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 43 },
number = { 13 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 27-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume43/number13/6164-8573/ },
doi = { 10.5120/6164-8573 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:33:19.646435+05:30
%A Feroza Haque
%A Sanjay Bansal
%T Software Reliability Estimation Models: A Comparative Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 43
%N 13
%P 27-31
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Software reliability is the ability of the software to perform its specified function under some specific condition. Reliability can be associated with both hardware and software. The hardware reliability can easily be evaluated since hardware get wear out but in case of software it be very difficult. In fact we can't determine or predict the actual reliability of the software by using some specified parameter. The paper summarized the performance of different reliability models till been designed and also reflect the different relationship that exist between different parameters. The paper will also introduce the concept of neural network which is been considered as one of the efficient technique been used for estimation or prediction. Generally unsupervised learning technique is been used for generalizing new optimizing technique. So if we use neural network for calculating the software reliability then it may be possible for us to predict the reliability more effectively.

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Index Terms

Computer Science
Information Sciences

Keywords

Reliability Reliability Model Estimation Neural Network

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