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Title

Identifying 'good' architectural design alternatives with multi-objective optimization strategies

Author(s)

Grunske, Lars

Abstract

Architecture trade-off analysis methods are appropriate techniques to evaluate design decisions and design alternatives with respect to conflicting quality requirements. However, the identification of good design alternatives is a time consuming task, which is currently performed manually. To automate this task, this paper proposes to use evolutionary algorithms and multi-objective optimization strategies based on architecture refactorings to identify a sufficient set of design alternatives. This approach will reduce development costs and improve the quality of the final system, because an automated and systematic search will identify more and better design alternatives.

Publication type

Conference paper

Source

Proceedings of the 28th International Conference on Software Engineering (ICSE 2006), Shanghai, China, 20-28 May 2006 / Kenneth M. Anderson (ed.), Vol. 2006, pp. 849-852

Publication year

2006

Keyword(s)

Architecture refactorings;  Architecture trade off analysis;  Cost reduction;  Decision making;  Dependability;  Evolutionary algorithms;  Multi objective optimization;  Optimization;  Quality assurance;  Software architecture;  Software design

Publisher

ACM

ISSN

0270-5257 (series ISSN)

ISBN

9781595933751, 1595933751

Publisher URL

http://dx.doi.org/10.1145/1134285.1134431

Copyright

Copyright © The author, 2006. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of ICSE (2006) http://doi.acm.org/10.1145/1134285.1134431

Full text

Peer reviewed