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: | 18 Apr 2023 14:59 |
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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