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