Software engineering practices for machine learning — Adoption, effects, and team assessment-Reference-Cited by-同舟云学术

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Software engineering practices for machine learning — Adoption, effects, and team assessment

Published:2024-03 Issue: Volume:209 Page:111907
ISSN:0164-1212
Container-title:Journal of Systems and Software
language:en
Short-container-title:Journal of Systems and Software

Author:

Serban Alex,van der Blom Koen,Hoos Holger,Visser Joost

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference129 articles.

1. Characterizing machine learning processes: A maturity framework;Akkiraju,2020

2. Best practices in machine learning infrastructure;Algorithmia,2019

3. Data management challenges in production machine learning;Alkis Polyzotis Martin A Zinkevich Steven Whang Sudip Roy,2017

4. How to organize data labelling for machine learning;Altexsoft,2018

5. Software engineering for machine learning: A case study;Amershi,2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Component-based Approach to Software Engineering of Machine Learning-enabled Systems;Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering - Software Engineering for AI;2024-04-14

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