Supporting user preferences in search-based product line architecture design using Machine Learning-Reference-Cited by-同舟云学术

Supporting user preferences in search-based product line architecture design using Machine Learning

Published:2020-10-19 Issue: Volume: Page:
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Container-title:Proceedings of the 14th Brazilian Symposium on Software Components, Architectures, and Reuse
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Author:

Bindewald Carlos Vinicius¹,Freire Willian M.¹,Amaral Aline M. M. Miotto¹,Colanzi Thelma Elita¹

Affiliation:

1. Informatics Department, State University of Maringa (UEM), Maringa, Parana, Brazil

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

ACM

Reference40 articles.

1. 2019. Reference hidden due to the double-blind reviewing process. 2019. Reference hidden due to the double-blind reviewing process.

2. 2020. Experimental package. https://github.com/otimizes/experimental-package-interactive-vin 2020. Experimental package. https://github.com/otimizes/experimental-package-interactive-vin

3. An Architecture based on interactive optimization and machine learning applied to the next release problem

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