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ID 27703
file
creator
Ohishi, Koji
subject
Software reliability model
Gompertz curve
Extremal distributions
Reliability assessment
NHPP
EM algorithm
NDC
Electrical engineering
abstract
Gompertz Curve has been used to estimate the number of residual faults in testing phases of software development, especially by Japanese software development companies. Since the Gompertz curve is a deterministic function, the curve cannot be applied to estimating software reliability which is the probability that software system does not fail in a prefixed time period. In this article, we propose a stochastic model called the Gompertz software reliability model based on non-homogeneous Poisson processes. The proposed model can be derived from the statistical theory of extreme-value, and has a similar asymptotic property to the deterministic Gompertz curve. Also, we develop an EM algorithm to determine the model parameters effectively. In numerical examples with software failure data observed in real software development projects, we evaluate performance of the Gompertz software reliability model in terms of reliability assessment and failure prediction.
journal title
Jpuranal of Systems and Software
volume
Volume 82
issue
Issue 3
start page
535
end page
543
date of issued
2009
publisher
Elsevier Science Inc
issn
0164-1212
ncid
publisher doi
language
eng
nii type
Journal Article
HU type
Journal Articles
DCMI type
text
format
application/pdf
text version
author
rights
Copyright (c) 2008 Elsevier Inc.
relation url
department
Graduate School of Engineering



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