Software reliability model with dependent failures and SPRT

Da Hye Lee; In Hong Chang; Hoang Pham

doi:10.3390/MATH8081366

Software reliability model with dependent failures and SPRT

Da Hye Lee
, In Hong Chang
, Hoang Pham

School of Engineering, Industrial Engineering

Rutgers, The State University

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

Software reliability and quality are crucial in several fields. Related studies have focused on software reliability growth models (SRGMs). Herein, we propose a new SRGM that assumes interdependent software failures. We conduct experiments on real-world datasets to compare the goodness-of-fit of the proposed model with the results of previous nonhomogeneous Poisson process SRGMs using several evaluation criteria. In addition, we determine software reliability using Wald's sequential probability ratio test (SPRT), which is more efficient than the classical hypothesis test (the latter requires substantially more data and time because the test is performed only after data collection is completed). The experimental results demonstrate the superiority of the proposed model and the effectiveness of the SPRT.

Original language	American English
Article number	1366
Journal	Mathematics
Volume	8
Issue number	8
DOIs	https://doi.org/10.3390/MATH8081366
State	Published - Aug 2020

ASJC Scopus subject areas

Computer Science (miscellaneous)
General Mathematics
Engineering (miscellaneous)

Keywords

Non-homogeneous poisson process
Sequential probability ratio test
Software reliability

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10.3390/MATH8081366

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title = "Software reliability model with dependent failures and SPRT",

abstract = "Software reliability and quality are crucial in several fields. Related studies have focused on software reliability growth models (SRGMs). Herein, we propose a new SRGM that assumes interdependent software failures. We conduct experiments on real-world datasets to compare the goodness-of-fit of the proposed model with the results of previous nonhomogeneous Poisson process SRGMs using several evaluation criteria. In addition, we determine software reliability using Wald's sequential probability ratio test (SPRT), which is more efficient than the classical hypothesis test (the latter requires substantially more data and time because the test is performed only after data collection is completed). The experimental results demonstrate the superiority of the proposed model and the effectiveness of the SPRT.",

keywords = "Non-homogeneous poisson process, Sequential probability ratio test, Software reliability",

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language = "American English",

volume = "8",

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T1 - Software reliability model with dependent failures and SPRT

AU - Lee, Da Hye

AU - Hong Chang, In

AU - Pham, Hoang

PY - 2020/8

Y1 - 2020/8

N2 - Software reliability and quality are crucial in several fields. Related studies have focused on software reliability growth models (SRGMs). Herein, we propose a new SRGM that assumes interdependent software failures. We conduct experiments on real-world datasets to compare the goodness-of-fit of the proposed model with the results of previous nonhomogeneous Poisson process SRGMs using several evaluation criteria. In addition, we determine software reliability using Wald's sequential probability ratio test (SPRT), which is more efficient than the classical hypothesis test (the latter requires substantially more data and time because the test is performed only after data collection is completed). The experimental results demonstrate the superiority of the proposed model and the effectiveness of the SPRT.

AB - Software reliability and quality are crucial in several fields. Related studies have focused on software reliability growth models (SRGMs). Herein, we propose a new SRGM that assumes interdependent software failures. We conduct experiments on real-world datasets to compare the goodness-of-fit of the proposed model with the results of previous nonhomogeneous Poisson process SRGMs using several evaluation criteria. In addition, we determine software reliability using Wald's sequential probability ratio test (SPRT), which is more efficient than the classical hypothesis test (the latter requires substantially more data and time because the test is performed only after data collection is completed). The experimental results demonstrate the superiority of the proposed model and the effectiveness of the SPRT.

KW - Non-homogeneous poisson process

KW - Sequential probability ratio test

KW - Software reliability

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DO - 10.3390/MATH8081366

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VL - 8

JO - Mathematics

JF - Mathematics

IS - 8

M1 - 1366

ER -

Software reliability model with dependent failures and SPRT

Abstract

ASJC Scopus subject areas

Keywords

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