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Proceedings of the 2015 European Conference on Software Architecture Workshops - ECSAW '15 - Automatic selection and composition of model transformations alternatives using evolutionary algorithms by Rahmoun, Smail; Borde, Etienne; Pautet, Laurent is a scholarly article available to read on EtoBox.

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The design of software architectures requires to address a number of competing non-functional properties (NFPs): improving one NFP requires to degrade another one. As a consequence, software architects have to come up with several design alternatives, and select architectures answering at best the trade-off between NFPs. In this paper, we propose to (i) formalize design alternatives with model transformations in order to ease the estimation of NFPs (using models analysis techniques); (ii) structure these model transformations to compose and select them (using evolutionary algorithms); and (iii) identify which model transformation alternatives produce the best output models with respect to NFPs. Experiments on a placement problem provide evidence that the approach can successfully explore the design space and find good architectural solutions.

Author

Rahmoun, Smail; Borde, Etienne; Pautet, Laurent

Publisher

ACM Press

Published

2015

Language

EN