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

Context Machine Learning (ML) has been at the heart of many innovations over the past years. However, including it in so-called “safety-critical” systems such as automotive or aeronautic has proven to be very challenging, since the shift in paradigm that ML brings completely changes traditional cert...

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Veröffentlicht in:	Automated software engineering Jg. 29; H. 2; S. 38
Hauptverfasser:	Tambon, Florian, Laberge, Gabriel, An, Le, Nikanjam, Amin, Mindom, Paulina Stevia Nouwou, Pequignot, Yann, Khomh, Foutse, Antoniol, Giulio, Merlo, Ettore, Laviolette, François
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.11.2022 Springer Nature B.V Springer Verlag
Schlagworte:	Artificial Intelligence Certification Computer Science Literature reviews Machine learning Safety critical Software Engineering/Programming and Operating Systems Systematic review Safety-critical Certification Machine learning Systematic literature review
ISSN:	0928-8910, 1573-7535
Online-Zugang:	Volltext
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