ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems-Reference-Cited by-同舟云学术

ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems

Published:2024 Issue: Volume: Page:112-131
ISSN:1865-1348
Container-title:Lecture Notes in Business Information Processing
language:en
Short-container-title:

Author:

Zimelewicz Eduardo^ORCID,Kalinowski Marcos^ORCID,Mendez Daniel^ORCID,Giray Görkem^ORCID,Santos Alves Antonio Pedro^ORCID,Lavesson Niklas^ORCID,Azevedo Kelly^ORCID,Villamizar Hugo^ORCID,Escovedo Tatiana^ORCID,Lopes Helio^ORCID,Biffl Stefan^ORCID,Musil Juergen^ORCID,Felderer Michael^ORCID,Wagner Stefan^ORCID,Baldassarre Teresa^ORCID,Gorschek Tony^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-56281-5_7

Reference44 articles.

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5. Lewis, G.A., Ozkaya, I., Xu, X.: Software architecture challenges for ml systems. In: 2021 IEEE International Conference on Software Maintenance and Evolution (ICSME), pp. 634–638 (2021)