publication . Other literature type . Conference object . 2020

Adoption and Effects of Software Engineering Best Practices in Machine Learning - Supplementary Material

Serban, Alex; Blom, Koen Van Der; Hoos, Holger; Visser, Joost;
Open Access
  • Published: 15 Jul 2020
  • Publisher: Zenodo
Abstract
The increasing reliance on applications with machine learning (ML) components calls for mature engineering techniques that ensure these are built in a robust and future-proof manner. We aim to empirically determine the state of the art in how teams develop, deploy and maintain software with ML components. We mined both academic and grey literature and identified 29 engineering best practices for ML applications. We conducted a survey among 313 practitioners to determine the degree of adoption for these practices and to validate their perceived effects. Using the survey responses, we quantified practice adoption, differentiated along demographic characteristics, ...
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ZENODO
Conference object . 2020
Provider: ZENODO
Zenodo
Other literature type . 2020
Provider: Datacite
Zenodo
Conference object . 2020
Provider: Datacite
Zenodo
Conference object . 2020
Provider: Datacite
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