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TEASMA: A Practical Methodology for Test Adequacy Assessment of Deep Neural Networks

Fuente: arXiv

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Bibliographic Details
Main Authors:	Abbasishahkoo, Amin, Dadkhah, Mahboubeh, Briand, Lionel, Lin, Dayi
Format:	Preprint
Published:	2023
Subjects:	Software Engineering
Online Access:	Acceder al recurso
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