Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Alves, Antonio Pedro Santos"'
Autor:
Alves, Antonio Pedro Santos, Kalinowski, Marcos, Mendez, Daniel, Villamizar, Hugo, Azevedo, Kelly, Escovedo, Tatiana, Lopes, Helio
[Context] In Brazil, 41% of companies use machine learning (ML) to some extent. However, several challenges have been reported when engineering ML-enabled systems, including unrealistic customer expectations and vagueness in ML problem specifications
Externí odkaz:
http://arxiv.org/abs/2407.18977
Autor:
Kalinowski, Marcos, Mendez, Daniel, Giray, Görkem, Alves, Antonio Pedro Santos, Azevedo, Kelly, Escovedo, Tatiana, Villamizar, Hugo, Lopes, Helio, Baldassarre, Teresa, Wagner, Stefan, Biffl, Stefan, Musil, Jürgen, Felderer, Michael, Lavesson, Niklas, Gorschek, Tony
Context: Machine learning (ML)-enabled systems are being increasingly adopted by companies aiming to enhance their products and operational processes. Objective: This paper aims to deliver a comprehensive overview of the current status quo of enginee
Externí odkaz:
http://arxiv.org/abs/2406.04359
Autor:
Zimelewicz, Eduardo, Kalinowski, Marcos, Mendez, Daniel, Giray, Görkem, Alves, Antonio Pedro Santos, Lavesson, Niklas, Azevedo, Kelly, Villamizar, Hugo, Escovedo, Tatiana, Lopes, Helio, Biffl, Stefan, Musil, Juergen, Felderer, Michael, Wagner, Stefan, Baldassarre, Teresa, Gorschek, Tony
[Context] Systems incorporating Machine Learning (ML) models, often called ML-enabled systems, have become commonplace. However, empirical evidence on how ML-enabled systems are engineered in practice is still limited, especially for activities surro
Externí odkaz:
http://arxiv.org/abs/2402.05333
Autor:
Alves, Antonio Pedro Santos, Kalinowski, Marcos, Giray, Görkem, Mendez, Daniel, Lavesson, Niklas, Azevedo, Kelly, Villamizar, Hugo, Escovedo, Tatiana, Lopes, Helio, Biffl, Stefan, Musil, Jürgen, Felderer, Michael, Wagner, Stefan, Baldassarre, Teresa, Gorschek, Tony
Systems that use Machine Learning (ML) have become commonplace for companies that want to improve their products and processes. Literature suggests that Requirements Engineering (RE) can help address many problems when engineering ML-enabled systems.
Externí odkaz:
http://arxiv.org/abs/2310.06726
Autor:
Oliveira, Stênio Henrique, Machado, Alice Mendes, Santos, Pedro Junio Alexandre, Amorim, Raphael Alexander Moura, Resende, Lucas Rômulo de Souza, Souza, Thiago Henrique Braga de, Alves, Antonio Pedro Santos, Gesteira, Elaine Cristina Rodrigues
Publikováno v:
Research, Society and Development; Vol. 11 No. 4; e30811427278
Research, Society and Development; Vol. 11 Núm. 4; e30811427278
Research, Society and Development; v. 11 n. 4; e30811427278
Research, Society and Development
Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
Research, Society and Development; Vol. 11 Núm. 4; e30811427278
Research, Society and Development; v. 11 n. 4; e30811427278
Research, Society and Development
Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
Objective: To describe the experience of students participating in an extension project in the creation and use of digital technology, as a playful tool for the continuity of storytelling activities to hospitalized children during the COVID-19 pandem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::e9545f65fa77e6b60a3e62c0b7883900
https://rsdjournal.org/index.php/rsd/article/view/27278
https://rsdjournal.org/index.php/rsd/article/view/27278
This book constitutes the refereed proceedings of the 24th International Conference on Product-Focused Software Process Improvement, PROFES 2023, which took place in Dornbirn, Austria, in December 2023. The 21 full technical papers, 8 short papers,
This book constitutes the refereed proceedings of the 24th International Conference on Product-Focused Software Process Improvement, PROFES 2023, which took place in Dornbirn, Austria, in December 2023. The 21 full technical papers, 6 industrial pap