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Improving the Validation of Automotive Self-Learning System..:

, In: Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, Applications and Technologies,

Stang, Marco ; Sommer, Martin ; Kraus, David. - p. 1-7 , 2023

Link: https://dl.acm.org/doi/10.1145/3632366.3632383

RT 
T1 <cTitle>Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, Applications and Technologies</cTitle>: T1 <Title>Improving the Validation of Automotive Self-Learning Systems through the Synergy of Scenario-Based Testing and Metamorphic Relations</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3632383&Exemplar=1&LAN=DE
				
A1 Stang, Marco
A1 Sommer, Martin
A1 Kraus, David
A1 Sax, Eric
PB ACM
YR 2023
K1 self-learning systems
K1 scenario-based testing
K1 metamorphic relations
K1 test input generation
K1 test oracle
K1 Software and its engineering
K1 General and reference
K1 Cross-computing tools and techniques
K1 Software organization and properties
K1 Software creation and management
K1 Software verification and validation
K1 Theory of computation
K1 Semantics and reasoning
K1 Program reasoning
K1 Program verification
K1 Software functional properties
K1 Formal methods
K1 Software defect analysis
K1 Formal software verification
K1 Software testing and debugging
SP 1
OP 7
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3632366.3632383
DO https://dl.acm.org/doi/10.1145/3632366.3632383
SF ELIB - SuUB Bremen

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