loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
25th Annual International Computer Software and Applications Conference (COMPSAC'01)
Information Theoretic Metrics for Software Architectures
Chicago, Illinois
October 08-October 12
ISBN: 0-7695-1372-7
ASCII Text
x 
 
Mark Shereshevsky, Habib Ammari, Nicholay Gradetsky, Ali Mili, Hany H. Ammar, "Information Theoretic Metrics for Software Architectures," Computer Software and Applications Conference, Annual International, pp. 151, 25th Annual International Computer Software and Applications Conference (COMPSAC'01), 2001.
 
 
BibTex
x
 
@article{ 10.1109/CMPSAC.2001.960611,
author = {Mark Shereshevsky and Habib Ammari and Nicholay Gradetsky and Ali Mili and Hany H. Ammar},
title = {Information Theoretic Metrics for Software Architectures},
journal ={Computer Software and Applications Conference, Annual International},
volume = {0},
year = {2001},
issn = {0730-3157},
pages = {151},
doi = {http://doi.ieeecomputersociety.org/10.1109/CMPSAC.2001.960611},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer Software and Applications Conference, Annual International
TI - Information Theoretic Metrics for Software Architectures
SN - 0730-3157
SP
EP
A1 - Mark Shereshevsky,
A1 - Habib Ammari,
A1 - Nicholay Gradetsky,
A1 - Ali Mili,
A1 - Hany H. Ammar,
PY - 2001
VL - 0
JA - Computer Software and Applications Conference, Annual International
ER -
 
Mark Shereshevsky, West Virginia University
Habib Ammari, West Virginia University
Nicholay Gradetsky, West Virginia University
Ali Mili, West Virginia University
Hany H. Ammar, West Virginia University
Because it codifies best practices, and because it supports various forms of software reuse, the discipline of software architecture is emerging as an important branch of software engineering research and practice. Because architectural-level decisions are prone to have a profound impact on finished software products, it is important to apprehend their quality attributes and to quantify them (as much as possible). In this paper, we discuss an information-theoretic approach to the definition and validation of architectural metrics, and illustrate our approach on a sample example.
Citation:
Mark Shereshevsky, Habib Ammari, Nicholay Gradetsky, Ali Mili, Hany H. Ammar, "Information Theoretic Metrics for Software Architectures," compsac, pp.151, 25th Annual International Computer Software and Applications Conference (COMPSAC'01), 2001
Usage of this product signifies your acceptance of the Terms of Use.