Test Selection for Deep Learning Systems

MA, Wei; PAPADAKIS, Mike; Tsakmalis, Anestis; CORDY, Maxime; LE TRAON, Yves

doi:10.1145/3417330

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Article (Scientific journals)

Test Selection for Deep Learning Systems

MA, Wei; PAPADAKIS, Mike; Tsakmalis, Anestis et al.

2021 • In ACM Transactions on Software Engineering and Methodology, 30 (2), p. 13:1--13:22

Peer Reviewed verified by ORBi

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https://hdl.handle.net/10993/44550

DOI
10.1145/3417330

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Research center :

Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Security Design and Validation Research Group (SerVal)

Disciplines :

Computer science

Author, co-author :

MA, Wei ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)

PAPADAKIS, Mike ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Computer Science and Communications Research Unit (CSC)

Tsakmalis, Anestis

CORDY, Maxime ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)

LE TRAON, Yves ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Computer Science and Communications Research Unit (CSC)

External co-authors :

Language :

English

Title :

Test Selection for Deep Learning Systems

Publication date :

2021

Journal title :

ACM Transactions on Software Engineering and Methodology

ISSN :

1049-331X

Publisher :

Association for Computing Machinery (ACM), United States

Volume :

Issue :

Pages :

13:1--13:22

Peer reviewed :

Peer Reviewed verified by ORBi

FnR Project :

FNR11686509 - Continuous Development With Mutation Analysis And Testing, 2017 (01/09/2018-31/08/2021) - Michail Papadakis

Name of the research project :

CODEMATES

Funders :

FNR - Fonds National de la Recherche

Available on ORBilu :

since 25 October 2020

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