DeMuVGN: Effective Software Defect Prediction Model by Learning Multi-view Software Dependency via Graph Neural Networks

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DeMuVGN: Effective Software Defect Prediction Model by Learning Multi-view Software Dependency via Graph Neural Networks

25 October 2024

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Papers citing "DeMuVGN: Effective Software Defect Prediction Model by Learning Multi-view Software Dependency via Graph Neural Networks"

8 / 8 papers shown

Title
The Impact of Using Regression Models to Build Defect Classifiers Gopi Krishnan Rajbahadur Shaowei Wang Yasutaka Kamei Ahmed E. Hassan 20 66 0 12 Feb 2022
Impact of Discretization Noise of the Dependent variable on Machine Learning Classifiers in Software Engineering Gopi Krishnan Rajbahadur Shaowei Wang Yasutaka Kamei Ahmed E. Hassan 28 25 0 12 Feb 2022
GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code Search Shangqing Liu Xiaofei Xie J. Siow Lei Ma Guozhu Meng Yang Liu GNN 57 54 0 04 Nov 2021
Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks Yaqin Zhou Shangqing Liu J. Siow Xiaoning Du Yang Liu GNN 68 772 0 08 Sep 2019
Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation Yu Chen Lingfei Wu Mohammed J Zaki GNN 56 156 0 14 Aug 2019
Convolutional Neural Networks over Control Flow Graphs for Software Defect Prediction Anh Viet Phan Minh Le Nguyen L. Bui GNN AI4CE 38 101 0 14 Feb 2018
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 809 38,961 0 09 Mar 2016
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 373 25,646 0 09 Jun 2011