Generation-Based Differential Fuzzing for Deep Learning Libraries

Recent advances and clinical applications of deep learning in medical image analysis

(2022) Xuxin Chen et al.   MEDICAL IMAGE ANALYSIS

Duo: Differential Fuzzing for Deep Learning Operators

(2021) Xufan Zhang et al.   IEEE TRANSACTIONS ON RELIABILITY

A Survey of the Usages of Deep Learning for Natural Language Processing

(2020) Daniel W. Otter et al.   IEEE Transactions on Neural Networks and Learning Systems

The Art, Science, and Engineering of Fuzzing: A Survey

(2019) Valentin J.M. Manes et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

Metamorphic Relations for Enhancing System Understanding and Use

(2018) Zhi Quan Zhou et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

QuickFuzz: an automatic random fuzzer for common file formats

(2016) Gustavo Grieco et al.   ACM SIGPLAN NOTICES

A Survey on Metamorphic Testing

(2016) Sergio Segura et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

Finding deep compiler bugs via guided stochastic program mutation

(2015) Vu Le et al.   ACM SIGPLAN NOTICES

Invariant-Based Automatic Testing of Modern Web Applications

(2011) A. Mesbah et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

On the use of a similarity function for test case selection in the context of model-based testing

(2009) Emanuela G. Cartaxo et al.   SOFTWARE TESTING VERIFICATION & RELIABILITY