Test Selection for Deep Learning Systems

Wei Ma
Wei Ma
Anestis Tsakmalis
Anestis Tsakmalis

ACM Transactions on Software Engineering and Methodology, pp. 1-22, 2021.

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Abstract:

Testing of deep learning models is challenging due to the excessive number and complexity of the computations involved. As a result, test data selection is performed manually and in an ad hoc way. This raises the question of how we can automatically select candidate data to test deep learning models. Recent research has focused on definin...More

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