Foutse Khomh, Bram Adams, Jinghui Cheng
, Marios-Eleftherios Fokaefs and Giuliano Antoniol
Article (2018)
An external link is available for this item| Department: | Department of Computer Engineering and Software Engineering |
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| PolyPublie URL: | https://publications.polymtl.ca/41438/ |
| Conference Date(s): | 2018-09-27 |
| Journal Title: | IEEE Software (vol. 35, no. 5) |
| Publisher: | IEEE |
| DOI: | 10.1109/ms.2018.3571224 |
| Official URL: | https://doi.org/10.1109/ms.2018.3571224 |
| Date Deposited: | 18 Apr 2023 15:03 |
| Last Modified: | 25 Sep 2024 16:27 |
| Cite in APA 7: | Khomh, F., Adams, B., Cheng, J., Fokaefs, M.-E., & Antoniol, G. (2018). Software Engineering for Machine-Learning Applications: The Road Ahead. IEEE Software, 35(5), 81-84. https://doi.org/10.1109/ms.2018.3571224 |
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