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Software Reliability Growth Models with Log-logistic Testing-Effort Function: A Comparative Study

by N. Ahmad, Md. Zafar Imam
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 75 - Number 12
Year of Publication: 2013
Authors: N. Ahmad, Md. Zafar Imam
10.5120/13161-0818

N. Ahmad, Md. Zafar Imam . Software Reliability Growth Models with Log-logistic Testing-Effort Function: A Comparative Study. International Journal of Computer Applications. 75, 12 ( August 2013), 6-11. DOI=10.5120/13161-0818

@article{ 10.5120/13161-0818,
author = { N. Ahmad, Md. Zafar Imam },
title = { Software Reliability Growth Models with Log-logistic Testing-Effort Function: A Comparative Study },
journal = { International Journal of Computer Applications },
issue_date = { August 2013 },
volume = { 75 },
number = { 12 },
month = { August },
year = { 2013 },
issn = { 0975-8887 },
pages = { 6-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume75/number12/13161-0818/ },
doi = { 10.5120/13161-0818 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:44:44.478586+05:30
%A N. Ahmad
%A Md. Zafar Imam
%T Software Reliability Growth Models with Log-logistic Testing-Effort Function: A Comparative Study
%J International Journal of Computer Applications
%@ 0975-8887
%V 75
%N 12
%P 6-11
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Software reliability growth model is one of the basic techniques to assess software reliability quantitatively and it provides the essential information for software development activities. In this paper we compare the predictive capability of popular software reliability growth models (SRGM), such as exponential growth, delayed S-shaped growth and inflection S-shaped growth models. We first review the log-logistic testing-effort function and also discuss exponential type and S-shaped types SRGM with log-logistic testing-effort. We analyze the real data applications and compare the predictive capability of these SRGM. The experimental results reveal that inflection S-shaped type SRGM has better prediction capability as compare to exponential type SRGM.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Software reliability growth models testing-effort function software testing non-homogeneous Poisson process estimation methods

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