loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Eighth IEEE International Symposium on High Assurance Systems Engineering (HASE'04)
EM Algorithm for Discrete Software Reliability Models: A Unified Parameter Estimation Method
Tampa, Florida
March 25-March 26
ISBN: 0-7695-2094-4
ASCII Text
x 
 
Hiroyuki Okamura, Atsushi Murayama, Tadashi Dohi, "EM Algorithm for Discrete Software Reliability Models: A Unified Parameter Estimation Method," High-Assurance Systems Engineering, IEEE International Symposium on, pp. 219-228, Eighth IEEE International Symposium on High Assurance Systems Engineering (HASE'04), 2004.
 
 
BibTex
x
 
@article{ 10.1109/HASE.2004.1281746,
author = {Hiroyuki Okamura and Atsushi Murayama and Tadashi Dohi},
title = {EM Algorithm for Discrete Software Reliability Models: A Unified Parameter Estimation Method},
journal ={High-Assurance Systems Engineering, IEEE International Symposium on},
volume = {0},
year = {2004},
issn = {1530-2059},
pages = {219-228},
doi = {http://doi.ieeecomputersociety.org/10.1109/HASE.2004.1281746},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - High-Assurance Systems Engineering, IEEE International Symposium on
TI - EM Algorithm for Discrete Software Reliability Models: A Unified Parameter Estimation Method
SN - 1530-2059
SP219
EP228
A1 - Hiroyuki Okamura,
A1 - Atsushi Murayama,
A1 - Tadashi Dohi,
PY - 2004
KW - null
VL - 0
JA - High-Assurance Systems Engineering, IEEE International Symposium on
ER -
 
Hiroyuki Okamura, Hiroshima University
Atsushi Murayama, Hiroshima University
Tadashi Dohi, Hiroshima University
In this paper, we consider the discrete software reliability models to assess the software reliability in discrete time circumstance, and develop a unified parameter estimation method based on the EM (Expectation-Maximization) principle. In numerical examples, the effectiveness of the EM algorithm to estimate the model parameters in the discrete software reliability models is investigated with real software error data. It is shown that the proposed method can provide the accurate estimates of model parameters effectively.
Citation:
Hiroyuki Okamura, Atsushi Murayama, Tadashi Dohi, "EM Algorithm for Discrete Software Reliability Models: A Unified Parameter Estimation Method," hase, pp.219-228, Eighth IEEE International Symposium on High Assurance Systems Engineering (HASE'04), 2004
Usage of this product signifies your acceptance of the Terms of Use.