DeepMutation: Mutation Testing of Deep Learning Systems

ISSRE, 2018.

Cited by: 83|Bibtex|Views62|Links
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Abstract:

Deep learning (DL) defines a new data-driven programming paradigm where the internal system logic is largely shaped by the training data. The standard way of evaluating DL models is to examine their performance on a test dataset. The quality of the test dataset is of great importance to gain confidence of the trained models. Using an inad...More

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