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MetaFL: Metamorphic fault localisation using weakly supervised deep learning

Abstract Deep‐Learning‐based Fault Localisation (DLFL) leverages deep neural networks to learn the relationship between statement behaviour and program failures, showing promising results. However, since DLFL uses program failures as labels to conduct supervised learning, a labelled dataset is a req...

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Main Authors: Lingfeng Fu, Yan Lei, Meng Yan, Ling Xu, Zhou Xu, Xiaohong Zhang
Format: Artigo
Language:Inglês
Published: Wiley 2023-04-01
Series:IET Software
Subjects:
fault diagnosis
learning (artificial intelligence)
program testing
Online Access:https://doi.org/10.1049/sfw2.12102
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