Improving Testing of Deep-Learning Systems

A combination of differential and mutation testing results in better test data.

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Bibliographic Details
Published in:Communications of the ACM 2024-03, Vol.67 (3), p.44-48
Main Authors: Deokuliar, Harsh, Sangwan, Raghvinder S., Badr, Yoaukim, Srinivasan, Satish M.
Format: Magazinearticle
Language:English
Subjects:
Acceptance testing
Artificial intelligence
Artificial neural networks
Datasets
Deep learning
Errors
Machine learning
Mutation
Process validation
Quality
Software and its engineering
Software creation and management
Software defect analysis
Software post-development issues
Software testing and debugging
Software verification and validation
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Online Access:Get full text
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Description
Summary:A combination of differential and mutation testing results in better test data.
ISSN:0001-0782
1557-7317
DOI:10.1145/3633311