How to certify machine learning based safety-critical systems? A systematic literature review

Florian Tambon, Gabriel Laberge, Le An, Amin Nikanjam, Paulina Stevia Nouwou Mindom, Yann Pequignot, Foutse Khomh, Giuliano Antoniol, Ettore Merlo and François Laviolette

Article (2022)

An external link is available for this item

Department:	Department of Computer Engineering and Software Engineering
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:	08 Apr 2025 07:18

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
APA 7 (HTML)ASCII CitationAtomBibTeXDOIsDublin CoreEndNote (.ENW)MARC (ISO 2709/UTF-8) (.MRC)MARC (UTF-8) (.MRK8)MARC XMLMPEG-21 DIDLMultiline CSVOAI-ORE Resource Map (Atom Format)OPENAIREOpenURL ContextObjectOpenURL ContextObject in SpanRDF+N-TriplesRDF+N3RDF+XMLReferReference Manager (.RIS)Simple Metadata

Statistics

Repository Staff Only