MetaFL: Metamorphic fault localisation using weakly supervised deep learning

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Lingfeng Fu, Yan Lei, Meng Yan, Ling Xu, Zhou Xu, Xiaohong Zhang
Format: Article
Language:English
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
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1049/sfw2.12102

Similar Items