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On the Choice of an Appropriate Software Reliability Growth Model

by Neha Miglani
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 87 - Number 9
Year of Publication: 2014
Authors: Neha Miglani
10.5120/15237-3772

Neha Miglani . On the Choice of an Appropriate Software Reliability Growth Model. International Journal of Computer Applications. 87, 9 ( February 2014), 18-24. DOI=10.5120/15237-3772

@article{ 10.5120/15237-3772,
author = { Neha Miglani },
title = { On the Choice of an Appropriate Software Reliability Growth Model },
journal = { International Journal of Computer Applications },
issue_date = { February 2014 },
volume = { 87 },
number = { 9 },
month = { February },
year = { 2014 },
issn = { 0975-8887 },
pages = { 18-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume87/number9/15237-3772/ },
doi = { 10.5120/15237-3772 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:05:30.003621+05:30
%A Neha Miglani
%T On the Choice of an Appropriate Software Reliability Growth Model
%J International Journal of Computer Applications
%@ 0975-8887
%V 87
%N 9
%P 18-24
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Software reliability is an active field of research over the past 35 years. Software developers often feel the necessity of selecting an appropriate software reliability model that not only best depicts the past history but also can predict reasonably well the future behavior of the software being developed in respect of detected bugs and errors. This helps in estimating in advance the time of delivery as well as the overall cost of the software project. Several models have been proposed in literature for estimating software reliability under different environments. However from amongst the models developed thus far, there is not a single model that best fits all or even a majority of the real life situations and so can be universally recommended. In this study, a technique is proposed to serve as a guide for the selection of an appropriate software reliability model for an ongoing software development project. The proposed technique has been tested on various sets of available software development project datasets and it has been observed that model recommended on the basis of proposed technique is better in comparison with models recommended on the basis of other models proposed.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Curve fitting technique Goodness-Of-Fit Non-Homogeneous Poisson process Software reliability Software reliability growth models.

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