Research papers · 2022.04.10
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review
How to certify machine learning based safety-critical systems? A systematic literature review
Overview
The review organizes ML certification research around robustness, uncertainty, explainability, verification, safe reinforcement learning, and direct certification. It identifies limited dataset and model diversity and weak connections between these research areas.
Author-supplied source information
Author-supplied information on arXiv.
Autom Softw Eng 29, 38 (2022)
60 pages (92 pages with references and complements), submitted to a journal (Automated Software Engineering). Changes: Emphasizing difference traditional software engineering / ML approach. Adding Related Works, Threats to Validity and Complementary Materials. Adding a table listing papers reference for each section/subsections
Version: arXiv v3 — manuscript revision