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Can Offline Testing of Deep Neural Networks Replace Their Online Testing?: A Case Study of Automated Driving Systems
We distinguish two general modes of testing for Deep Neural Networks (DNNs): Offline testing where DNNs are tested as individual units based on test datasets obtained without involving the DNNs under test, and online testing where DNNs are embedded into a specific application environment and tested...
Autores principales: | Haq, Fitash Ul, Shin, Donghwan, Nejati, Shiva, Briand, Lionel |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9249720/ https://www.ncbi.nlm.nih.gov/pubmed/35791396 http://dx.doi.org/10.1007/s10664-021-09982-4 |
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