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1 Ergebnisse
1
Testing Learning-Enabled Cyber-Physical Systems with Large-..:
, In:
Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering
,
Zheng, Xi
;
Mok, Aloysius K.
;
Piskac, Ruzica
... - p. 467-471 , 2024
Link:
https://dl.acm.org/doi/10.1145/3663529.3663779
RT T1 <cTitle>Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering</cTitle>: T1 <Title>Testing Learning-Enabled Cyber-Physical Systems with Large-Language Models: A Formal Approach</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3663779&Exemplar=1&LAN=DE A1 Zheng, Xi A1 Mok, Aloysius K. A1 Piskac, Ruzica A1 Lee, Yong Jae A1 Krishnamachari, Bhaskar A1 Zhu, Dakai A1 Sokolsky, Oleg A1 Lee, Insup PB ACM YR 2024 K1 AI-based Systems K1 LLM-based Testing K1 automata-learning K1 model-based testing K1 Software and its engineering K1 Software verification and validation K1 Computer systems organization K1 Embedded and cyber-physical systems K1 Computing methodologies K1 Machine learning K1 Theory of computation K1 Formal languages and automata theory SP 467 OP 471 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3663529.3663779 DO https://dl.acm.org/doi/10.1145/3663529.3663779 SF ELIB - SuUB Bremen
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