A Bayesian network approach to rational architectural design

Zhang, H and Jarzabek, S 2005, 'A Bayesian network approach to rational architectural design', International Journal of Software Engineering and Knowledge Engineering, vol. 15, pp. 695-717.


Document type: Journal Article
Collection: Journal Articles

Title A Bayesian network approach to rational architectural design
Author(s) Zhang, H
Jarzabek, S
Year 2005
Journal name International Journal of Software Engineering and Knowledge Engineering
Volume number 15
Start page 695
End page 717
Total pages 22
Publisher World Scientific Publishing
Abstract In software architecture design, we explore design alternatives and make decisions about adoption or rejection of a design from a web of complex and often uncertain information. Different architectural design decisions may lead to systems that satisfy the same set of functional requirements but differ in certain quality attributes. In this paper, we propose a Bayesian Network based approach to rational architectural design. Our Bayesian Network helps software architects record and make design decisions. We can perform both qualitative and quantitative analysis over the Bayesian Network to understand how the design decisions influence system quality attributes, and to reason about rational design decisions. We use the KWIC (Key Word In Context) example to illustrate the principles of our approach.
Subject Software Engineering
Keyword(s) software architecture design
Bayesian Network
automated design
software quality
knowledge capture
KWIC
artificial intelligence
software engineering
DOI - identifier 10.1142/S0218194005002488
Copyright notice © World Scientific Publishing Company
ISSN 0218-1940
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