Assessing Robustness of ML-Based Program Analysis Tools using Metamorphic Program Transformations

Metamorphic testing is a well-established testing technique that has been successfully applied in various domains, including testing deep learning models to assess their robustness against data noise or malicious input. Currently, metamorphic testing approaches for machine learning (ML) models focus...

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Vydané v:	IEEE/ACM International Conference on Automated Software Engineering : [proceedings] s. 1377 - 1381
Hlavní autori:	Applis, Leonhard, Panichella, Annibale, van Deursen, Arie
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.11.2021
Predmet:	documentation-generation Java machine learning in software engineering Measurement metamorphic testing Robustness Semantics Software Statistical analysis Syntactics
ISSN:	2643-1572
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