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Inverse Rayleigh Software Reliability Growth Model
by
B.vara Prasad Rao,
K.gangadhara Rao,
B. Srinivasa Rao
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 75 - Number 6 |
| Year of Publication: 2013 |
| Authors: B.vara Prasad Rao, K.gangadhara Rao, B. Srinivasa Rao |
10.5120/13112-0470
|
B.vara Prasad Rao, K.gangadhara Rao, B. Srinivasa Rao . Inverse Rayleigh Software Reliability Growth Model. International Journal of Computer Applications. 75, 6 ( August 2013), 1-5. DOI=10.5120/13112-0470
@article{
10.5120/13112-0470,
author = {
B.vara Prasad Rao,
K.gangadhara Rao,
B. Srinivasa Rao
},
title = { Inverse Rayleigh Software Reliability Growth Model },
journal = {
International Journal of Computer Applications
},
issue_date = { August 2013 },
volume = { 75 },
number = { 6 },
month = { August },
year = { 2013 },
issn = { 0975-8887 },
pages = {
1-5
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume75/number6/13112-0470/
},
doi = { 10.5120/13112-0470 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:43:31.509489+05:30
%A B.vara Prasad Rao
%A K.gangadhara Rao
%A B. Srinivasa Rao
%T Inverse Rayleigh Software Reliability Growth Model
%J International Journal of Computer Applications
%@ 0975-8887
%V 75
%N 6
%P 1-5
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract
A Non Homogenous Poisson Process (NHPP) with its mean value function generated by the cumulative distribution function of inverse Rayleigh distribution is considered. It is modeled to assess the failure phenomenon of a developed software. When the failure data is in the form of number of failures in a given interval of time the model parameters are estimated by the maximum likelihood method. The performance of the model using four data sets is discussed in comparison with existing models.
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Index Terms
Computer Science
Information Sciences
Keywords