Automatic generation of simulink models to find bugs in a cyber-physical system tool chain using deep learning
Author:
Affiliation:
1. University of Texas at Arlington
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3377812.3382163
Reference17 articles.
1. Martin Abadi et al. 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems. (2015). http://tensorflow.org/Software_available_from_tensorflow.org. Martin Abadi et al. 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems. (2015). http://tensorflow.org/Software_available_from_tensorflow.org.
2. François Chollet et al. 2015. Keras. https://keras.io. (2015). François Chollet et al. 2015. Keras. https://keras.io. (2015).
3. Automatically finding bugs in commercial cyber-physical system development tool chains
4. Automatically finding bugs in a commercial cyber-physical system development tool chain with SLforge
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