Amin Nikanjam and Foutse Khomh
Paper (2021)
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| Additional Information: | Groupe de recherche: SWAT Lab |
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| Department: | Department of Computer Engineering and Software Engineering |
| Research Center: | Other |
| ISBN: | 9781665428828 |
| PolyPublie URL: | https://publications.polymtl.ca/50194/ |
| Conference Title: | IEEE International Conference on Software Maintenance and Evolution (ICSME 2021) |
| Conference Location: | Luxembourg, Netherlands |
| Conference Date(s): | 2021-09-27 - 2021-10-01 |
| Publisher: | IEEE |
| DOI: | 10.1109/icsme52107.2021.00036 |
| Official URL: | https://doi.org/10.1109/icsme52107.2021.00036 |
| Date Deposited: | 18 Apr 2023 15:00 |
| Last Modified: | 22 Oct 2025 15:07 |
| Cite in APA 7: | Nikanjam, A., & Khomh, F. (2021, September). Design Smells in Deep Learning Programs: An Empirical Study [Paper]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2021), Luxembourg, Netherlands. https://doi.org/10.1109/icsme52107.2021.00036 |
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