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of 4
pro vyhledávání: '"Baldassarre, Teresa"'
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
Publikováno v:
EASE
Background: Development of complex, software intensive systems generates large amounts of information. Several researchers have developed tools implementing information retrieval (IR) approaches to suggest traceability links among artifacts. Aim: We