Code smells for machine learning applications-Reference-Cited by-同舟云学术

Code smells for machine learning applications

Published:2022-05-16 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI
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Author:

Zhang Haiyin¹,Cruz Luís²,van Deursen Arie²

Affiliation:

1. AI for Fintech Research, ING, Amsterdam, Netherlands

2. Delft University of Technology, Delft, Netherlands

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3522664.3528620

Reference63 articles.

1. The ML test score: A rubric for ML production readiness and technical debt reduction

2. International Organization for Standardization/International Electrotechnical Commission et al. 2001. ISO/IEC 9126--Software Engineering-Product Quality. International Organization for Standardization/International Electrotechnical Commission et al. 2001. ISO/IEC 9126--Software Engineering-Product Quality.

3. The State of the ML-universe

4. MPA Haakman. 2020. Studying the Machine Learning Lifecycle and Improving Code Quality of Machine Learning Applications. (2020). MPA Haakman. 2020. Studying the Machine Learning Lifecycle and Improving Code Quality of Machine Learning Applications. (2020).

5. AI lifecycle models need to be revised

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