IEICE TRANSACTIONS on Fundamentals
NHPP-Based Software Reliability Models Using Equilibrium Distribution
Summary :
Non-homogeneous Poisson processes (NHPPs) have gained much popularity in actual software testing phases to estimate the software reliability, the number of remaining faults in software and the software release timing. In this paper, we propose a new modeling approach for the NHPP-based software reliability models (SRMs) to describe the stochastic behavior of software fault-detection processes. The fundamental idea is to apply the equilibrium distribution to the fault-detection time distribution in NHPP-based modeling. We also develop efficient parameter estimation procedures for the proposed NHPP-based SRMs. Through numerical experiments, it can be concluded that the proposed NHPP-based SRMs outperform the existing ones in many data sets from the perspective of goodness-of-fit and prediction performance.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E95-A No.5 pp.894-902
- Publication Date
- 2012/05/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E95.A.894
- Type of Manuscript
- PAPER
- Category
- Reliability, Maintainability and Safety Analysis
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Xiao XIAO, Hiroyuki OKAMURA, Tadashi DOHI, "NHPP-Based Software Reliability Models Using Equilibrium Distribution" in IEICE TRANSACTIONS on Fundamentals,
vol. E95-A, no. 5, pp. 894-902, May 2012, doi: 10.1587/transfun.E95.A.894.
Abstract: Non-homogeneous Poisson processes (NHPPs) have gained much popularity in actual software testing phases to estimate the software reliability, the number of remaining faults in software and the software release timing. In this paper, we propose a new modeling approach for the NHPP-based software reliability models (SRMs) to describe the stochastic behavior of software fault-detection processes. The fundamental idea is to apply the equilibrium distribution to the fault-detection time distribution in NHPP-based modeling. We also develop efficient parameter estimation procedures for the proposed NHPP-based SRMs. Through numerical experiments, it can be concluded that the proposed NHPP-based SRMs outperform the existing ones in many data sets from the perspective of goodness-of-fit and prediction performance.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E95.A.894/_p
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@ARTICLE{e95-a_5_894,
author={Xiao XIAO, Hiroyuki OKAMURA, Tadashi DOHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={NHPP-Based Software Reliability Models Using Equilibrium Distribution},
year={2012},
volume={E95-A},
number={5},
pages={894-902},
abstract={Non-homogeneous Poisson processes (NHPPs) have gained much popularity in actual software testing phases to estimate the software reliability, the number of remaining faults in software and the software release timing. In this paper, we propose a new modeling approach for the NHPP-based software reliability models (SRMs) to describe the stochastic behavior of software fault-detection processes. The fundamental idea is to apply the equilibrium distribution to the fault-detection time distribution in NHPP-based modeling. We also develop efficient parameter estimation procedures for the proposed NHPP-based SRMs. Through numerical experiments, it can be concluded that the proposed NHPP-based SRMs outperform the existing ones in many data sets from the perspective of goodness-of-fit and prediction performance.},
keywords={},
doi={10.1587/transfun.E95.A.894},
ISSN={1745-1337},
month={May},}
Copy
TY - JOUR
TI - NHPP-Based Software Reliability Models Using Equilibrium Distribution
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 894
EP - 902
AU - Xiao XIAO
AU - Hiroyuki OKAMURA
AU - Tadashi DOHI
PY - 2012
DO - 10.1587/transfun.E95.A.894
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E95-A
IS - 5
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - May 2012
AB - Non-homogeneous Poisson processes (NHPPs) have gained much popularity in actual software testing phases to estimate the software reliability, the number of remaining faults in software and the software release timing. In this paper, we propose a new modeling approach for the NHPP-based software reliability models (SRMs) to describe the stochastic behavior of software fault-detection processes. The fundamental idea is to apply the equilibrium distribution to the fault-detection time distribution in NHPP-based modeling. We also develop efficient parameter estimation procedures for the proposed NHPP-based SRMs. Through numerical experiments, it can be concluded that the proposed NHPP-based SRMs outperform the existing ones in many data sets from the perspective of goodness-of-fit and prediction performance.
ER -
English
