Towards a change taxonomy for machine learning pipelines Empirical study of ML pipelines and forks related to academic publications

Aaditya Bhatia, Ellis E. Eghan, Manel Grichi, William G. Cavanagh, Zhen Ming Jiang and Bram Adams

Article (2023)

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Department:	Department of Computer Engineering and Software Engineering
PolyPublie URL:	https://publications.polymtl.ca/53572/
Journal Title:	Empirical Software Engineering (vol. 28, no. 3)
Publisher:	Springer
DOI:	10.1007/s10664-022-10282-8
Official URL:	https://doi.org/10.1007/s10664-022-10282-8
Date Deposited:	10 Jul 2023 16:30
Last Modified:	08 Apr 2025 07:22

Cite in APA 7:	Bhatia, A., Eghan, E. E., Grichi, M., Cavanagh, W. G., Jiang, Z. M., & Adams, B. (2023). Towards a change taxonomy for machine learning pipelines Empirical study of ML pipelines and forks related to academic publications. Empirical Software Engineering, 28(3), 60 (34 pages). https://doi.org/10.1007/s10664-022-10282-8
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