New non‐homogeneous Poisson process software reliability model based on a 3‐parameter S‐shaped function

Abstract Software reliability modelling is the mathematical technique used to evaluate the reliability of a software system. The non‐homogeneous Poisson process is a prominent approach in this field. More than half of the models in this group are based on S‐shaped functions, primarily the 2‐paramete...

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Main Authors: Hung‐Cuong Nguyen, Quyet‐Thang Huynh
Format: Article
Language:English
Published: Wiley 2022-04-01
Series:IET Software
Subjects:
Online Access:https://doi.org/10.1049/sfw2.12055
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author Hung‐Cuong Nguyen
Quyet‐Thang Huynh
author_facet Hung‐Cuong Nguyen
Quyet‐Thang Huynh
author_sort Hung‐Cuong Nguyen
collection DOAJ
description Abstract Software reliability modelling is the mathematical technique used to evaluate the reliability of a software system. The non‐homogeneous Poisson process is a prominent approach in this field. More than half of the models in this group are based on S‐shaped functions, primarily the 2‐parameter S‐shaped function. This paper proposes a new model based on the 3‐parameter S‐shaped function, which is an expanded form of the 2‐parameter S‐shaped function obtained by adding a growth rate controller. Real data from industrial software development projects are used to verify the usability of the proposed model. The proposed model is shown to perform better than the existing models, especially with respect to the predictive performance. Furthermore, the rate of convergence of the proposed model is acceptable, with a rate of 76.47%.
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institution Kabale University
issn 1751-8806
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language English
publishDate 2022-04-01
publisher Wiley
record_format Article
series IET Software
spelling doaj-art-441e66b2c5724d6e9184d971a84b9ac22025-02-03T01:29:37ZengWileyIET Software1751-88061751-88142022-04-0116221423210.1049/sfw2.12055New non‐homogeneous Poisson process software reliability model based on a 3‐parameter S‐shaped functionHung‐Cuong Nguyen0Quyet‐Thang Huynh1Faculty of Engineering Technology Hung Vuong University Viet Tri VietnamSchool of Information and Communication Technology Hanoi University of Science and Technology Hanoi VietnamAbstract Software reliability modelling is the mathematical technique used to evaluate the reliability of a software system. The non‐homogeneous Poisson process is a prominent approach in this field. More than half of the models in this group are based on S‐shaped functions, primarily the 2‐parameter S‐shaped function. This paper proposes a new model based on the 3‐parameter S‐shaped function, which is an expanded form of the 2‐parameter S‐shaped function obtained by adding a growth rate controller. Real data from industrial software development projects are used to verify the usability of the proposed model. The proposed model is shown to perform better than the existing models, especially with respect to the predictive performance. Furthermore, the rate of convergence of the proposed model is acceptable, with a rate of 76.47%.https://doi.org/10.1049/sfw2.12055maximum‐likelihood estimationnon‐homogeneous Poisson processpredictabilityS‐shaped curvesoftware reliability modelling
spellingShingle Hung‐Cuong Nguyen
Quyet‐Thang Huynh
New non‐homogeneous Poisson process software reliability model based on a 3‐parameter S‐shaped function
IET Software
maximum‐likelihood estimation
non‐homogeneous Poisson process
predictability
S‐shaped curve
software reliability modelling
title New non‐homogeneous Poisson process software reliability model based on a 3‐parameter S‐shaped function
title_full New non‐homogeneous Poisson process software reliability model based on a 3‐parameter S‐shaped function
title_fullStr New non‐homogeneous Poisson process software reliability model based on a 3‐parameter S‐shaped function
title_full_unstemmed New non‐homogeneous Poisson process software reliability model based on a 3‐parameter S‐shaped function
title_short New non‐homogeneous Poisson process software reliability model based on a 3‐parameter S‐shaped function
title_sort new non homogeneous poisson process software reliability model based on a 3 parameter s shaped function
topic maximum‐likelihood estimation
non‐homogeneous Poisson process
predictability
S‐shaped curve
software reliability modelling
url https://doi.org/10.1049/sfw2.12055
work_keys_str_mv AT hungcuongnguyen newnonhomogeneouspoissonprocesssoftwarereliabilitymodelbasedona3parametersshapedfunction
AT quyetthanghuynh newnonhomogeneouspoissonprocesssoftwarereliabilitymodelbasedona3parametersshapedfunction