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7th VEM 2019: Salvador, Bahia, Brazil

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Fernando Castor, Igor Scaliante Wiese:
VII Workshop on Software Visualization, Evolution and Maintenance, VEM 2019, Salvador, Bahia, Brazil, September 25, 2019. Sociedade Brasileira de Computação 2019

Software Maintenance

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Gláucya Boechat, Joselito Mota Júnior, Ivan Machado, Manoel G. Mendonça:
Análise de Sentimentos em Discussões de Issues Reabertas do Github. 13-20
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Felipe Gustavo de Souza Gomes, Thiago Souto Mendes, Rodrigo O. Spínola, Manoel G. Mendonça, Mário Farias:
Uma análise da relação entre code smells e dívida técnica auto-admitida. 37-44
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Victor G. J. Costa, A. César C. França:
How Workspaces Influence Software Development? Preliminary Results of a Systematic Literature Review. 53-60
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Caio Steglich, Sabrina Marczak, Rodrigo Pereira dos Santos, Luiz Pedro Guerra, Luiz Henrique Mosmann, Cleidson R. B. de Souza, Fernando Figueira Filho, Marcelo Gattermann Perin:
How do Technical Factors Affect Developers in Mobile Software Ecosystems. 70-77

Software Architecture

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Jacson Rodrigues Barbosa, Ricardo Marcondes Marcacini, Ricardo Britto, Frederico Soares, Solange O. Rezende, Auri M. R. Vincenzi, Márcio E. Delamaro:
BULNER: BUg Localization with word embeddings and NEtwork Regularization. 21-28
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Adriano L. Cândido, Fernando Antonio Mota Trinta, Paulo A. L. Rego, Lincoln S. Rocha, Nabor C. Mendonça, Vinicius C. Garcia:
Um relato sobre a migração de uma plataforma de offloading para microsserviços. 29-36
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Douglas E. U. Silva, Roberto A. Bittencourt, Rodrigo Tripodi Calumby:
Clustering Similarity Measures for Architecture Recovery of Evolving Software. 45-52
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Warteruzannan Soyer Cunha, Valter Vieira de Camargo:
Uma Investigação da Aplicação de Aprendizado de Máquina para Detecção de Smells Arquiteturais. 78-85

Sofware Process and Reengineering

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Guilherme Mendonça de Moraes, Edgard Costa Oliveira:
Análise e melhoria do processo de reengenharia de software: um estudo de caso. 61-69
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Dorgival Netto, Ana de Holanda, Flávio Neves, Cloves Rocha, Helena Bastos:
O Impacto da Utilização da Ferramenta Pivotal Tracker para Monitoração de Desempenho em Times Ágeis de Desenvolvimento de Software. 86-93
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Marcelo de Rezende Martins, Marco Aurélio Gerosa:
Um estudo preliminar sobre o uso de uma arquitetura deep learning para seleção de respostas no problema de recuperação de código-fonte. 94-101

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