Multi-objective metamorphic follow-up test case selection for deep learning systems-Reference-Cited by-同舟云学术

Multi-objective metamorphic follow-up test case selection for deep learning systems

Published:2022-07-08 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference
language:
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Author:

Arrieta Aitor¹

Affiliation:

1. Mondragon University, Mondragon, Spain

Funder

European Commission

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3512290.3528697

Reference50 articles.

1. Testing Web Enabled Simulation at Scale Using Metamorphic Testing

2. A practical guide for using statistical tests to assess randomized algorithms in software engineering

3. Aitor Arrieta . 2022 . On the Cost-Efectiveness of Composite Metamorphic Relations for Testing Deep Learning Systems. In Metamorphic Testing Workshop (MET'22) . ACM. Aitor Arrieta. 2022. On the Cost-Efectiveness of Composite Metamorphic Relations for Testing Deep Learning Systems. In Metamorphic Testing Workshop (MET'22). ACM.

4. Seeding strategies for multi-objective test case selection

5. Multi-objective black-box test case selection for cost-effectively testing simulation models

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