Florian Tambon, Gabriel Laberge, Le An, Amin Nikanjam, Paulina Stevia Nouwou Mindom, Yann Pequignot, Foutse Khomh, Giuliano Antoniol, Ettore Merlo and Francois Laviolette
Article (2022)
An external link is available for this itemDepartment: | Department of Computer Engineering and Software Engineering |
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PolyPublie URL: | https://publications.polymtl.ca/50834/ |
Journal Title: | Automated Software Engineering (vol. 29, no. 2) |
Publisher: | Springer |
DOI: | 10.1007/s10515-022-00337-x |
Official URL: | https://doi.org/10.1007/s10515-022-00337-x |
Date Deposited: | 18 Apr 2023 14:59 |
Last Modified: | 25 Sep 2024 16:41 |
Cite in APA 7: | Tambon, F., Laberge, G., An, L., Nikanjam, A., Mindom, P. S. N., Pequignot, Y., Khomh, F., Antoniol, G., Merlo, E., & Laviolette, F. (2022). How to certify machine learning based safety-critical systems? A systematic literature review. Automated Software Engineering, 29(2). https://doi.org/10.1007/s10515-022-00337-x |
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