Published November 9, 2023
| Version v1
Dataset
Open
ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems
Authors/Creators
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Zimelewicz, Eduardo
(Researcher)1
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Kalinowski, Marcos
(Researcher)1
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Mendez, Daniel
(Researcher)2
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Giray, Görkem
(Researcher)
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Pedro Santos Alves, Antonio
(Researcher)1
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Lavesson, Niklas
(Researcher)2
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Azevedo Borges Leal Neves, Kelly
(Researcher)1
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Villamizar, Hugo
(Researcher)1
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Escovedo, Tatiana
(Researcher)1
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Lopes, Hélio
(Researcher)1
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Biffl, Stefan
(Researcher)3
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Musil, Juergen
(Researcher)3
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Felderer, Michael
(Researcher)4, 5
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Wagner, Stefan
(Researcher)6
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Baldassarre, Maria Teresa
(Researcher)7
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Gorschek, Tony
(Researcher)2, 8
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1.
Pontifical Catholic University of Rio de Janeiro
-
2.
Blekinge Institute of Technology
- 3. Technische Universität Wien
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4.
University of Cologne
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5.
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
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6.
Technical University of Munich
- 7. University of Bari
- 8. fortiss GmbH
Description
Contained within this directory is the latest dataset utilized in the research titled 'ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems'. We are providing a downloadable ZIP file that includes the survey questionnaire, the amassed data, and the Jupyter Notebooks utilized for our analytical process.