DocumentCode :
1726382
Title :
Information theoretic metrics for software architectures
Author :
Shereshevsky, Mark ; Ammari, Habib ; Gradetsky, Nicholay ; Mili, Ali ; Ammar, Hany H.
Author_Institution :
Dept. of Comput. Sci. & Electr. Eng., West Virginia Univ., Morgantown, WV, USA
fYear :
2001
fDate :
6/23/1905 12:00:00 AM
Firstpage :
151
Lastpage :
157
Abstract :
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
Keywords :
software architecture; software metrics; software reusability; architectural metrics; architectural-level decisions; information theoretic metrics; quality attributes; software architectures; software metrics; software reuse; validation; Application software; Best practices; Computer architecture; Information theory; NASA; Software architecture; Software engineering; Software measurement; Software quality; Software safety;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Software and Applications Conference, 2001. COMPSAC 2001. 25th Annual International
Conference_Location :
Chicago, IL
ISSN :
0730-3157
Print_ISBN :
0-7695-1372-7
Type :
conf
DOI :
10.1109/CMPSAC.2001.960611
Filename :
960611
Link To Document :
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