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Can Offline Testing of Deep Neural Networks Replace Their Online Testing?
We distinguish two general modes of testing for Deep Neural Networks (DN...
01/26/2021 ∙ by Fitash Ul Haq, et al. ∙
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Digital Twins Are Not Monozygotic – Cross-Replicating ADAS Testing in Two Industry-Grade Automotive Simulators
The increasing levels of software- and data-intensive driving automation...
12/12/2020 ∙ by Markus Borg, et al. ∙
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Automatic Test Suite Generation for Key-points Detection DNNs Using Many-Objective Search
Automatically detecting the positions of key-points (e.g., facial key-po...
12/11/2020 ∙ by Fitash Ul Haq, et al. ∙
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Effective Removal of Operational Log Messages: an Application to Model Inference
Model inference aims to extract accurate models from the execution logs ...
04/15/2020 ∙ by Donghwan Shin, et al. ∙
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Comparing Offline and Online Testing of Deep Neural Networks: An Autonomous Car Case Study
There is a growing body of research on developing testing techniques for...
11/28/2019 ∙ by Fitash Ul Haq, et al. ∙
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Scalable Inference of System-level Models from Component Logs
Behavioral software models play a key role in many software engineering ...
08/06/2019 ∙ by Donghwan Shin, et al. ∙
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Empirical Evaluation of Mutation-based Test Prioritization Techniques
We propose and empirically investigate a new test case prioritization te...
09/14/2017 ∙ by Donghwan Shin, et al. ∙
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