Graph Neural Network for Source Code Defect Prediction-Reference-Cited by-同舟云学术

Graph Neural Network for Source Code Defect Prediction

Published:2022 Issue: Volume:10 Page:10402-10415
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Sikic Lucija^ORCID,Kurdija Adrian Satja^ORCID,Vladimir Klemo^ORCID,Silic Marin^ORCID

Funder

European Regional Development Fund through the System for Detection of Malicious Transactions in Electronic Payment Operations Based on Machine Learning Research Project

VODIME-The Waters of Imotski Region Research Project

Croatian Science Foundation through the Reliable Composite Applications Based on Web Services Research Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09684879.pdf?arnumber=9684879

Reference74 articles.

1. Predicting defect-prone software modules using support vector machines

2. Evaluating defect prediction approaches using a massive set of metrics

3. Absolute correlation weighted naïve Bayes for software defect prediction;asmono;J Softw Eng,2015

4. Building Defect Prediction Models in Practice

5. Software defect prediction using static code metrics underestimates defect-proneness

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