Please use this identifier to cite or link to this item: https://doi.org/10.1142/S0218194005002488
Title: A Bayesian Network approach to rational architectural design
Authors: Zhang, H.
Jarzabek, S. 
Keywords: Automated design
Bayesian network
Knowledge capture
KWIC
Software architecture design
Software quality
Issue Date: 2005
Citation: Zhang, H., Jarzabek, S. (2005). A Bayesian Network approach to rational architectural design. International Journal of Software Engineering and Knowledge Engineering 15 (4) : 695-717. ScholarBank@NUS Repository. https://doi.org/10.1142/S0218194005002488
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. © World Scientific Publishing Company.
Source Title: International Journal of Software Engineering and Knowledge Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/39197
ISSN: 02181940
DOI: 10.1142/S0218194005002488
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

7
checked on Oct 15, 2018

WEB OF SCIENCETM
Citations

2
checked on Oct 15, 2018

Page view(s)

122
checked on Sep 22, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.