An Empirical Evaluation of Flow Based Programming in the Machine Learning Deployment Context

As use of data driven technologies spreads, software engineers are more often faced with the task of solving a business problem using data-driven methods such as machine learning (ML) algorithms. Deployment of ML within large software systems brings new challenges that are not addressed by standard...

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Veröffentlicht in:	Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI S. 54 - 64
Hauptverfasser:	Paleyes, Andrei, Cabrera, Christian, Lawrence, Neil D.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	ACM 01.05.2022
Schlagworte:	Computer architecture Data collection Data science flow-based programming Machine learning Programming Service-oriented architecture software engineering Software systems
Online-Zugang:	Volltext
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