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Release Policy, Change-Point Concept, and Effort Control through Discrete-Time Imperfect Software Reliability Modelling

by Omar Shatnawi, P.K. Kapur, Mohd Taib Shatnawi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 137 - Number 11
Year of Publication: 2016
Authors: Omar Shatnawi, P.K. Kapur, Mohd Taib Shatnawi
10.5120/ijca2016908879

Omar Shatnawi, P.K. Kapur, Mohd Taib Shatnawi . Release Policy, Change-Point Concept, and Effort Control through Discrete-Time Imperfect Software Reliability Modelling. International Journal of Computer Applications. 137, 11 ( March 2016), 17-25. DOI=10.5120/ijca2016908879

@article{ 10.5120/ijca2016908879,
author = { Omar Shatnawi, P.K. Kapur, Mohd Taib Shatnawi },
title = { Release Policy, Change-Point Concept, and Effort Control through Discrete-Time Imperfect Software Reliability Modelling },
journal = { International Journal of Computer Applications },
issue_date = { March 2016 },
volume = { 137 },
number = { 11 },
month = { March },
year = { 2016 },
issn = { 0975-8887 },
pages = { 17-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume137/number11/24318-2016908879/ },
doi = { 10.5120/ijca2016908879 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:38:05.171352+05:30
%A Omar Shatnawi
%A P.K. Kapur
%A Mohd Taib Shatnawi
%T Release Policy, Change-Point Concept, and Effort Control through Discrete-Time Imperfect Software Reliability Modelling
%J International Journal of Computer Applications
%@ 0975-8887
%V 137
%N 11
%P 17-25
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Nonhomogeneous Poisson process based software reliability models play an important role in developing software systems and enhancing the performance of computer software. As software reliability grows on the basis of the execution of computer test runs. Nonhomogeneous Poisson process type of discrete-time software reliability models, or difference equations, is more realistic and often provides better fit than their continuous-time counterparts. Since discrete-time model conserves the properties of the continuous-time model, the estimation of its parameter would be simpler and more accurate. In this paper, we explore the importance of testing resource and imperfect debugging phenomenon consideration in software reliability growth modeling. The resultant model is very useful for the reliability analysis as the measure of reliability is computed considering the distribution of testing-effort, influence of the testing efficiency and the changes of the testing process. Using the resultant model, testing-effort control, change-point concept and optimal release policy have also been investigated. Therefore, this paper thus provides a new insight into development of discrete-time modelling in software reliability engineering, that could be of immense help to the software project manager in monitoring and controlling the testing process closely and effectively allocating the resources in order to reduce the testing cost and to meet the given reliability requirements.

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Index Terms

Computer Science
Information Sciences

Keywords

Software reliability software testing imperfect debugging nonhomogeneous Poisson process change-point effort control software release policy.

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