Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Benhur de Oliveira Stein"'
Autor:
Luis C. E. Bona, Celio Trois, Dimitra Simeonidou, Magnos Martinello, Reza Nejabati, Luiz S. Oliveira, Benhur de Oliveira Stein, João Carlos D. Lima, Douglas Harewood-Gill, Marcos Didonet Del Fabro
Publikováno v:
AINA
Data analytics and scientific computing are two modern applications that in recent years have substantially changed their computation and communication needs, requiring additional processing capability and bandwidth to be able to keep pace with curre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef8311a6aaead17adf8b9de9ee7b4724
https://doi.org/10.1109/aina.2018.00161
https://doi.org/10.1109/aina.2018.00161
Autor:
Leandro da Silva Fornasier, Cristiano Cortez da Rocha, Andrea Schwertner Charão, Vinícius Maran, Márcio Parise Boufleur, João Carlos D. Lima, Benhur de Oliveira Stein, Júlio César Narciso
Publikováno v:
ICEIS (1)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4363675cebb373cf51d9d15e3b27f75
https://doi.org/10.5220/0006690400290037
https://doi.org/10.5220/0006690400290037
Autor:
Andrea Schwertner Charão, Jessica Lasch de Moura, Benhur de Oliveira Stein, João Carlos D. Lima
Publikováno v:
ICCSA (7)
This article proposes an approach to generate test cases from BPMN models, for automated testing of Web applications implemented with the support of BPM suites. The work is primarily focused on functional testing and has the following objectives: (i)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbb04d8fe0ee9f20d9a39927bd4d604b
https://doi.org/10.1109/iccsa.2017.7999652
https://doi.org/10.1109/iccsa.2017.7999652
Autor:
Andrea Schwertner Charão, Guilherme F. Hoffmann, Manuele Kirsch-Pinheiro, Benhur de Oliveira Stein, Luiz Angelo Steffenel
Publikováno v:
International Conference on Enterprise Information Systems (ICEIS)
International Conference on Enterprise Information Systems (ICEIS), 2017, Porto, Portugal. ⟨10.5220/0006350803320337⟩
ICEIS (1)
International Conference on Enterprise Information Systems (ICEIS), 2017, Porto, Portugal. ⟨10.5220/0006350803320337⟩
ICEIS (1)
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5aeceaf0120d15ebe4d77db320cbb85
https://hal.univ-reims.fr/hal-01709037
https://hal.univ-reims.fr/hal-01709037
Autor:
Alberto Francisco Kummer Neto, Patricia Pitthan Barcelos, Andrea Schwertner Charão, Benhur de Oliveira Stein
Publikováno v:
Anais do XXIV Workshop sobre Educação em Computação (WEI 2016).
Padrões pedagógicos visam aproveitar o conhecimento especializado em práticas de ensino e aprendizagem, em um formato que favoreça sua reutilização. Neste trabalho, propõe-se um padrão pedagógico voltado ao ensino de programação, em cursos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::270f2c7d7a6683a1ec81d2ea2d4f5dcf
https://doi.org/10.5753/wei.2016.9660
https://doi.org/10.5753/wei.2016.9660
Autor:
Andrea Schwertner Charão, Patricia Pitthan Barcelos, Guilherme Weigert Cassales, Luiz Angelo Steffenel, Sergio Nesmachnow, Benhur de Oliveira Stein, Carine Souveyet, Manuele Kirsch-Pinheiro, Matias Cogorno, Olivier Flauzac, Javier Rey
Publikováno v:
Journal of Computer Science
Journal of Computer Science, Science Publications, 2014, 10 (11), pp.2194-2210. ⟨10.3844/jcssp.2014.2194.2210⟩
Journal of Computer Science, Science Publications, 2014, 10 (11), pp.2194-2210. ⟨10.3844/jcssp.2014.2194.2210⟩
International audience; This study presents the advances on designing and implementing scalable techniques to support the development and execution of MapReduce application in pervasive distributed computing infrastructures, in the context of the PER
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7dea089408a383ae3dab106a4f152b8c
https://hal-paris1.archives-ouvertes.fr/hal-01085287
https://hal-paris1.archives-ouvertes.fr/hal-01085287
Publikováno v:
Parallel Computing. 26:1253-1274
This paper describes Paje, an interactive visualization tool for displaying the execution of parallel applications where a potentially large number of communicating threads of various life-times execute on each node of a distributed memory parallel s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54cff72e6ed576bf758ff220977e6891
https://doi.org/10.1016/s0167-8191(00)00010-7
https://doi.org/10.1016/s0167-8191(00)00010-7
Autor:
Jessica Lasch de Moura, Andrea Schwertner Charão, Gabriel Machado Lunardi, Patricia Pitthan Barcelos, Benhur de Oliveira Stein
Publikováno v:
Anais do IX Simpósio Brasileiro de Sistemas de Informação (SBSI 2013).
Neste artigo, apresenta-se um relato de experiência de modelagem e implementação de um processo de negócio utilizando o software livre Bonita Open Solution. O processo em questão refere-se a uma atividade-meio em cursos de graduação: a aprecia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94e1c1ec77dec11938f3eb726557d5d7
https://doi.org/10.5753/sbsi.2013.5688
https://doi.org/10.5753/sbsi.2013.5688
Autor:
Daniel Diaz, Olivier Flauzac, Patricia Pitthan Barcelos, Benhur de Oliveira Stein, Sergio Nesmachnow, Manuele Kirsch Pinheiro, Luiz Angelo Steffenel, Andrea Schwertner Charão
Publikováno v:
3PGCIC
HAL
Proceedings of the 8th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC'13)
8th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC'13)
8th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC'13), Oct 2013, COMPIEGNE, FRANCE, France. pp.17-24
HAL
Proceedings of the 8th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC'13)
8th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC'13)
8th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC'13), Oct 2013, COMPIEGNE, FRANCE, France. pp.17-24
International audience; MapReduce is a parallel programming paradigm successfully used to perform computations on massive amounts of data, being widely deployed on clusters, grid, and cloud infrastructures. Interestingly, while the emergence of cloud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31aa2291fa41f4576655c1bfbd6983fa
https://hal-paris1.archives-ouvertes.fr/hal-00903718
https://hal-paris1.archives-ouvertes.fr/hal-00903718