A Bayesian hidden Markov model for imperfect debugging

doi:10.1016/j.ress.2012.03.003

2012-07-01

PRE

Antonio Pievatolo *

Fabrizio Ruggeri

Refik Soyer

DOI：10.1016/j.ress.2012.03.003

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摘要

En 中文

In this paper we present a new model to describe software failures from a debugging process. Our model allows for the imperfect debugging scenario by considering potential introduction of new bugs to the software during the development phase. Since the introduction of bugs is an unobservable process, latent variables are introduced to incorporate this property via a hidden Markov model. We develop a Bayesian analysis of the model and discuss its extensions. We also consider how to infer the unknown number of states of the hidden Markov model. The model and the Bayesian analysis are implemented to actual software failure data. (c) 2012 Elsevier Ltd. All rights reserved.

Keyword:

Software reliability

Failure times

Bayes factor

Model selection

期刊

Reliability Engineering and System Safety

IF:

论文数:

9.0K

被引数:

4.2W

机构

istituto di matematica applicata e tecnologie informatiche enrico magenes (imati-cnr)

学者数:

196

论文数: 160

被引数: 0

consiglio nazionale delle ricerche (cnr)

学者数:

6.2W

论文数: 5.7W

被引数: 48

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