NHPP-Based Software Reliability Models Using Equilibrium Distribution
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概要
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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.
著者
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Dohi Tadashi
Department Of Information Engineering Graduate School Of Engineering Hiroshima University
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Okamura Hiroyuki
Department Of Dental Materials Science School Of Life Dentistry At Tokyo The Nippon Dental Universit
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XIAO Xiao
Department of Molecular Genetics and Biochemistry, University of Pittsburgh
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