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Different Ranking of NHPP Software Reliability Growth Models with Generalised Measure and Predictability

by Nguyen Hung-cuong, Huynh Quyet-thang, Le Hai-trieu
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International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 7 - Number 11
Year of Publication: 2014
Authors: Nguyen Hung-cuong, Huynh Quyet-thang, Le Hai-trieu
10.5120/ijais14-451257

Nguyen Hung-cuong, Huynh Quyet-thang, Le Hai-trieu . Different Ranking of NHPP Software Reliability Growth Models with Generalised Measure and Predictability. International Journal of Applied Information Systems. 7, 11 ( November 2014), 1-6. DOI=10.5120/ijais14-451257

@article{ 10.5120/ijais14-451257,
author = { Nguyen Hung-cuong, Huynh Quyet-thang, Le Hai-trieu },
title = { Different Ranking of NHPP Software Reliability Growth Models with Generalised Measure and Predictability },
journal = { International Journal of Applied Information Systems },
issue_date = { November 2014 },
volume = { 7 },
number = { 11 },
month = { November },
year = { 2014 },
issn = { 2249-0868 },
pages = { 1-6 },
numpages = {9},
url = { https://www.ijais.org/archives/volume7/number11/691-1257/ },
doi = { 10.5120/ijais14-451257 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T18:55:46.710541+05:30
%A Nguyen Hung-cuong
%A Huynh Quyet-thang
%A Le Hai-trieu
%T Different Ranking of NHPP Software Reliability Growth Models with Generalised Measure and Predictability
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 7
%N 11
%P 1-6
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In recent years, the authors have proposed a number of Nonhomogeneous Poisson process (NHPP) software reliability growth models (SRGMs) to analyse and measure the growth of software reliability during production process. This study works with a mathematics methodology to evaluate and then rank some basic NHPP SRGMs. Characteristics of ranking are: the fit of calculated occurrence failure times with real occurrence failure times; and the fit of a predicted time of the next failure with a real one. From a set of individual measures, the methodology mentioned will be deployed. The implementation of some SRGMs with several real data sets confirms that the ranking of SRGMs depends on the data sets.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Software Reliability Modelling Non-homogeneous Poisson Process Probability Distribution

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