First-order superdiagonal bilinear time series for tracking software reliability
by Bouzaachane Khadija, Harti Mostafa, Benghabrit Youssef.
The research work of this paper is devoted to model and predict the inter-failure of software by using
one model of bilinear time series, this model can related to existing software reliability growth model.
We propose the first-order bilinear time series model as a new model of software reliability. This model
belongs to the models which are based on modeling inter-failure times of software. To prove the strengths of
our model, we compare its predictions with those of non-Gaussian Kalman filter model of Chen and Singpurwalla.
Software Reliability, Inter-Failure Times,First-order Superdiagonal Bilinear Time Series Model, Non-Gaussian Kalman Filter Model
Bouzaachane Khadija, email@example.com
Harti Mostafa, firstname.lastname@example.org
Benghabrit Youssef, email@example.com
Ageel I. A. Mohammed,MIAQEEL@kku.edu.sa
READING THE ARTICLE: You can read the article in
portable document (.pdf) format (168566 bytes.)
NOTE: The content of this article is the intellectual property of the authors, who retains all rights to future publication.
This page has been accessed 2284 times since July 24, 2006.
Return to the Home Page.