Forough Majidi, Foutse Khomh, Heng Li
and Amin Nikanjam
Article (2025)
An external link is available for this item| Additional Information: | This article belongs to the Topical Collection: Special Issue on SEA4DQ. |
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| Department: | Department of Computer Engineering and Software Engineering |
| Funders: | Fonds de Recherche du Quebec (FRQ), NSERC, Canadian Institute for Advanced Research (CIFAR), Canada Research Chairs Program |
| PolyPublie URL: | https://publications.polymtl.ca/70284/ |
| Journal Title: | Empirical Software Engineering (vol. 31, no. 1) |
| Publisher: | Springer Science+Business Media |
| DOI: | 10.1007/s10664-025-10744-9 |
| Official URL: | https://doi.org/10.1007/s10664-025-10744-9 |
| Date Deposited: | 01 Dec 2025 16:45 |
| Last Modified: | 01 Dec 2025 16:45 |
| Cite in APA 7: | Majidi, F., Khomh, F., Li, H., & Nikanjam, A. (2025). An efficient model maintenance approach for MLOps. Empirical Software Engineering, 31(1), 48 pages. https://doi.org/10.1007/s10664-025-10744-9 |
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