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313547

An Imperfect Debugging Littlewood Non-homogeneous Poisson Process Model

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Last updated: 05 Jan 2025

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Abstract

The large literature on software reliability assessment and prediction essentially assumes that once a failure occurs the fault causing the failure is immediately removed with certainty. i.e., perfect debugging. This assumption may not be realistic. Due to the complexity of the software systems the testing team may not be able to remove the errors perfectly and the original error is He replaced by another error(s), i.e., imperfect debugging. The motivation for the present work is to relax this assumption. We present a new non-homogeneous Poisson Process (NHPP) model for reliability prediction, which is based upon the Littlewood Non-Homogeneous Poisson Process (LNHPP) model and incorporates imperfect debugging. Its predictive accuracy is compared on some real data sets with the predictions that come from the conventional LNHPP model. These initial results are encouraging.  

DOI

10.21608/esju.2006.313547

Keywords

Software reliability, Imperfect Debugging, Non, Homogeneous Poisson Process

Volume

50

Article Issue

2

Related Issue

42977

Issue Date

2006-12-01

Publish Date

2006-12-01

Page Start

136

Page End

153

Print ISSN

0542-1748

Online ISSN

2786-0086

Link

https://esju.journals.ekb.eg/article_313547.html

Detail API

https://esju.journals.ekb.eg/service?article_code=313547

Order

2

Type

Original Article

Type Code

1,914

Publication Type

Journal

Publication Title

The Egyptian Statistical Journal

Publication Link

https://esju.journals.ekb.eg/

MainTitle

An Imperfect Debugging Littlewood Non-homogeneous Poisson Process Model

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Article

Created At

28 Dec 2024