TITLE:
A Bootstrapping Approach for Software Reliability Measurement Based on a Discretized NHPP Model
AUTHORS:
Shinji Inoue, Shigeru Yamada
KEYWORDS:
Software Reliability Measurement; Discretized NHPP Model; Nonparametric Bootstrapping Method; Regression Analysis; Bootstrap Confidence Intervals
JOURNAL NAME:
Journal of Software Engineering and Applications,
Vol.6 No.4A,
April
23,
2013
ABSTRACT: Discrete software reliability measurement has a proper
characteristic for describing a software reliability growth process which
depends on a unit of the software fault-detection period, such as the number of
test runs, the number of executed test cases. This paper discusses discrete
software reliability measurement based on a discretized nonhomogeneous Poisson
process (NHPP) model. Especially, we use a bootstrapping method in our discrete
software reliability measurement for discussing the statistical inference on
parameters and software reliability assessment measures of our model. Finally
we show numerical examples of interval estimations based on our bootstrapping
method for the several software reliability assessment measures by using actual
data.