QuoTe: Quality-oriented Testing for Deep Learning Systems

Recently, there has been significant growth of interest in applying software engineering techniques for the quality assurance of deep learning (DL) systems. One popular direction is DL testing—that is, given a property of test, defects of DL systems are found either by fuzzing or guided search with...

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Bibliographic Details
Published in:ACM transactions on software engineering and methodology 2023-07, Vol.32 (5), p.1-33, Article 125
Main Authors: Chen, Jialuo, Wang, Jingyi, Ma, Xingjun, Sun, Youcheng, Sun, Jun, Zhang, Peixin, Cheng, Peng
Format: Article
Language:English
Subjects:
Computing methodologies
Neural networks
Software and its engineering
Software testing and debugging
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