Two-Phase Software Fault Localization Based on Relational Graph Convolutional Neural Networks

Spectrum-based fault localization (SBFL) generates a ranked list of suspicious elements by using the program execution spectrum, but the excessive number of elements ranked in parallel results in low localization accuracy. Mo... | Find, read and cite all the research you need on Tech Science Press

Authors

Publication Details

Journal
Computers, materials & continua/Computers, materials & continua (Print)
Published
2024-12-11
DOI
https://doi.org/10.32604/cmc.2024.057695
Citations
2
Primary Topic
Software Engineering Research
Type
article
Field-Weighted Citation Impact
1.56

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article

Two-Phase Software Fault Localization Based on Relational Graph Convolutional Neural Networks

Xin Fan, Zhenlei Fu, Jian Shu, Zuxiong Shen et al.
2 citations
Computers, materials & continua/Computers, materials & continua (Print)
Software Engineering Research
1.56
article

Two-Phase Software Fault Localization Based on Relational Graph Convolutional Neural Networks

Xin Fan, Zhenlei Fu, Jian Shu, Zuxiong Shen, Yun Ge
article en
2 citations

Abstract

Spectrum-based fault localization (SBFL) generates a ranked list of suspicious elements by using the program execution spectrum, but the excessive number of elements ranked in parallel results in low localization accuracy. Mo... | Find, read and cite all the research you need on Tech Science Press

Computers, materials & continua/Computers, materials & continua (Print)Vol. 82(2)
Nanchang Hangkong University, National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 12%
Software Engineering Research
1.56
DOIOpen Access PDFOpenAlex
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Two-Phase Software Fault Localization Based on Relational Graph Convolutional Neural Networks — Xin Fan, Zhenlei Fu, et al. · Computers, materials & continua/Computers, materials & continua (Print) (2024) | TGRS Research Map | TGRS