You Can't See the Forest for Its Trees: Assessing Deep Neural Network Testing via NeuraL Coverage.
Yuanyuan YuanQi PangShuai WangPublished in: CoRR (2021)
Keyphrases
- neural network
- network architecture
- neural fuzzy
- neural model
- test suite
- decision trees
- back propagation
- neuron model
- learning rules
- neural architecture
- pattern recognition
- fuzzy logic
- associative memory
- software testing
- neural network model
- genetic algorithm
- neural computation
- tree models
- multi layer
- bio inspired
- tree structure
- set of test cases
- test cases
- artificial neural networks
- recurrent networks
- fuzzy neural network
- code coverage
- neural learning
- white box testing
- learning vector quantization
- deep learning
- activation function
- neural nets
- recurrent neural networks
- feed forward
- self organizing maps
- machine learning