Publication: A Markov modulated Poisson model for software reliability
Program
KU-Authors
KU Authors
Co-Authors
Landon, Joshua
Soyer, Refik
Publication Date
Language
Type
Embargo Status
Journal Title
Journal ISSN
Volume Title
Alternative Title
Abstract
In this paper, we consider a latent Markov process governing the intensity rate of a Poisson process model for software failures. The latent process enables us to infer performance of the debugging operations over time and allows us to deal with the imperfect debugging scenario. We develop the Bayesian inference for the model and also introduce a method to infer the unknown dimension of the Markov process. We illustrate the implementation of our model and the Bayesian approach by using actual software failure data.
Source
Publisher
Elsevier
Subject
Management, Operations research, Management science
Citation
Has Part
Source
European Journal of Operational Research
Book Series Title
Edition
DOI
10.1016/j.ejor.2013.03.014