Can Offline Testing of Deep Neural Networks Replace Their Online Testing? A Case Study of Automated Driving Systems

• Published in: Empirical software engineering : an international journal Vol. 26; no. 5; p. 90
• Main Authors: Haq, Fitash Ul, Shin, Donghwan, Nejati, Shiva, Briand, Lionel
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.09.2021
• Subjects: Compilers; Computer Science; Interpreters; Programming Languages; Software Engineering/Programming and Operating Systems; Self-driving Cars; Deep Learning; Testing

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...