Information theoretic metrics for software architectures

Mark Shereshevsky; Habib Ammari; Nicholay Gradetsky; Ali Mili; Hany H. Ammar

doi:10.1109/CMPSAC.2001.960611

Information theoretic metrics for software architectures

Mark Shereshevsky, Habib Ammari, Nicholay Gradetsky, Ali Mili, Hany H. Ammar

Research output: Contribution to journal › Article › peer-review

18 Scopus citations

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.

Original language	English (US)
Pages (from-to)	151-157
Number of pages	7
Journal	Proceedings - IEEE Computer Society's International Computer Software and Applications Conference
DOIs	https://doi.org/10.1109/CMPSAC.2001.960611
State	Published - 2001
Externally published	Yes

All Science Journal Classification (ASJC) codes

Software
Computer Science Applications

Keywords

Coupling and Cohesion
Information Theory
Metrics
Quality Attributes
Software Architecture

Access to Document

10.1109/CMPSAC.2001.960611

Cite this

@article{6f621985fb004596a3ec465a1a2ed88e,

title = "Information theoretic metrics for software architectures",

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 = "Coupling and Cohesion, Information Theory, Metrics, Quality Attributes, Software Architecture",

author = "Mark Shereshevsky and Habib Ammari and Nicholay Gradetsky and Ali Mili and Ammar, {Hany H.}",

year = "2001",

doi = "10.1109/CMPSAC.2001.960611",

language = "English (US)",

pages = "151--157",

journal = "Proceedings - IEEE Computer Society's International Computer Software and Applications Conference",

issn = "0730-3157",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - Information theoretic metrics for software architectures

AU - Shereshevsky, Mark

AU - Ammari, Habib

AU - Gradetsky, Nicholay

AU - Mili, Ali

AU - Ammar, Hany H.

PY - 2001

Y1 - 2001

N2 - 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.

AB - 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.

KW - Coupling and Cohesion

KW - Information Theory

KW - Metrics

KW - Quality Attributes

KW - Software Architecture

UR - http://www.scopus.com/inward/record.url?scp=0035175202&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0035175202&partnerID=8YFLogxK

U2 - 10.1109/CMPSAC.2001.960611

DO - 10.1109/CMPSAC.2001.960611

M3 - Article

AN - SCOPUS:0035175202

SN - 0730-3157

SP - 151

EP - 157

JO - Proceedings - IEEE Computer Society's International Computer Software and Applications Conference

JF - Proceedings - IEEE Computer Society's International Computer Software and Applications Conference

ER -

Information theoretic metrics for software architectures

Abstract

All Science Journal Classification (ASJC) codes

Keywords

Access to Document

Other files and links

Fingerprint

Cite this