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Software Reliability Prediction using Neural Networks

by V. Ramakrishna, M R Narasinga Rao, T M Padmaja
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 60 - Number 7
Year of Publication: 2012
Authors: V. Ramakrishna, M R Narasinga Rao, T M Padmaja
10.5120/9707-4167

V. Ramakrishna, M R Narasinga Rao, T M Padmaja . Software Reliability Prediction using Neural Networks. International Journal of Computer Applications. 60, 7 ( December 2012), 44-48. DOI=10.5120/9707-4167

@article{ 10.5120/9707-4167,
author = { V. Ramakrishna, M R Narasinga Rao, T M Padmaja },
title = { Software Reliability Prediction using Neural Networks },
journal = { International Journal of Computer Applications },
issue_date = { December 2012 },
volume = { 60 },
number = { 7 },
month = { December },
year = { 2012 },
issn = { 0975-8887 },
pages = { 44-48 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume60/number7/9707-4167/ },
doi = { 10.5120/9707-4167 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:05:57.607417+05:30
%A V. Ramakrishna
%A M R Narasinga Rao
%A T M Padmaja
%T Software Reliability Prediction using Neural Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 60
%N 7
%P 44-48
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Predicting the Software reliability is a pertinent issue and it is a major concern of software developers and engineers in changing environment considerations. Software reliability models are developed to estimate the probability of failure free operation of the software for a long time. Many Software Reliability Growth Models (SRGM) were developed to give the latent number of faults in the software product. However none of these models performing to the expectations of the developers of the software. In this paper, A research is made using artificial neural network models to monitor the performance of the software that leads to predict the software reliability. The MLP model outperforms SVR model, and based on the results, these models can be considered to be a reasonable alternative for software quality prediction.

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Index Terms

Computer Science
Information Sciences

Keywords

SoftwareQuality Software Reliability MLP Neural Network Support Vector Regression Back-propagation algorithm

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