A Preliminary Investigation of MLOps Practices in GitHub-Reference-Cited by-同舟云学术

A Preliminary Investigation of MLOps Practices in GitHub

Published:2022-09-19 Issue: Volume: Page:
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Container-title:ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)
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Author:

Calefato Fabio¹,Lanubile Filippo¹,Quaranta Luigi¹

Affiliation:

1. University of Bari, Italy

Publisher

ACM

Reference14 articles.

1. Amine Barrak , Ellis E. Eghan , and Bram Adams . 2021 . On the Co-evolution of ML Pipelines and Source Code - Empirical Study of DVC Projects. In 2021 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER). IEEE , Honolulu, HI, USA, 422–433. https://doi.org/10.1109/SANER50967. 2021.00046 Amine Barrak, Ellis E. Eghan, and Bram Adams. 2021. On the Co-evolution of ML Pipelines and Source Code - Empirical Study of DVC Projects. In 2021 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER). IEEE, Honolulu, HI, USA, 422–433. https://doi.org/10.1109/SANER50967.2021.00046

2. Sumon Biswas , Md Johirul Islam , Yijia Huang , and Hridesh Rajan . 2019 . Boa Meets Python: A Boa Dataset of Data Science Software in Python Language. In 2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR). IEEE, Montreal, QC, Canada, 577–581 . https://doi.org/10.1109/MSR.2019.00086 Sumon Biswas, Md Johirul Islam, Yijia Huang, and Hridesh Rajan. 2019. Boa Meets Python: A Boa Dataset of Data Science Software in Python Language. In 2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR). IEEE, Montreal, QC, Canada, 577–581. https://doi.org/10.1109/MSR.2019.00086

3. DevOps

4. The State of the ML-universe

5. Usage, costs, and benefits of continuous integration in open-source projects

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