DocumentCode :
2618367
Title :
Using quality attributes and computational intelligence to generate and evaluate system architecture alternatives
Author :
Singh, Atmika ; Dagli, Cihan H.
Author_Institution :
Smart Eng. Syst. Lab., Missouri Univ. of Sci. & Technol., Rolla, MO, USA
fYear :
2010
fDate :
5-8 April 2010
Firstpage :
347
Lastpage :
352
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.
Keywords :
artificial intelligence; evolutionary computation; fuzzy set theory; software architecture; computational intelligence; evolutionary algorithm; fuzzy architecture assessment approach; linguistic assessment; quality attribute; system architecture alternative;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Conference, 2010 4th Annual IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-5882-0
Type :
conf
DOI :
10.1109/SYSTEMS.2010.5482332
Filename :
5482332
Link To Document :
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