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ID 33942
file
creator
Xiao, Xiao
subject
software reliability
equilibrium distribution
EM algorithm
NHPP
real data analysis
NDC
General works
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.
journal title
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
volume
Volume E95A
issue
Issue 5
start page
894
end page
902
date of issued
2012
publisher
一般社団法人電子情報通信学会
issn
0916-8508
ncid
publisher doi
language
eng
nii type
Journal Article
HU type
Journal Articles
DCMI type
text
format
application/pdf
text version
publisher
rights
Copyright (c) 2012 The Institute of Electronics, Information and Communication Engineers
relation url
department
Graduate School of Engineering



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