Abstract

This paper proposes an evolutionary algorithm based approach for evolving architecture alternatives using quality attributes as design drivers. A novel fuzzy architecture assessment approach is presented to quantitatively evaluate the set of possible solutions based on linguistic assessments of architecture quality attributes elicited from the stakeholders. The proposed approach makes a valuable contribution to the systems architecting knowledge base by presenting a measurable and quantifiable approach to architecture design and evaluation.

Meeting Name

2010 4th Annual IEEE Systems Conference

Department(s)

Engineering Management and Systems Engineering

Keywords and Phrases

Fuzzy Set Theory

Library of Congress Subject Headings

Artificial intelligence
Evolutionary computation
Software architecture

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 2010 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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