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Improving bug detection via context-based code representation learning and attention-based neural networks
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Heterogeneous defect prediction
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inferredcites →https://doi.org/10.1145/2884781.2884848openalex-snapshot
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On the naturalness of software
What points at this work
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Neural Networks to Predict Software Development/Maintenance Performance and Required Time
inferred← citeshttps://doi.org/10.25073/2588-1086/vnucsce.1432openalex-snapshot
Silent Vulnerability-fixing Commit Identification Based on Graph Neural Networks
inferred← citeshttps://doi.org/10.26083/tuprints-00017377openalex-snapshot
Learning to Find Bugs in Programs and their Documentation
inferred← citeshttps://doi.org/10.31274/td-20240329-475openalex-snapshot
Localizing and repairing faults in deep learning programs
inferred← citeshttps://doi.org/10.32604/cmc.2024.057697openalex-snapshot
A Fine-Grained Defect Prediction Method Based on Drift-Immune Graph Neural Networks
inferred← citeshttps://doi.org/10.3390/app13020825openalex-snapshot
VulEye: A Novel Graph Neural Network Vulnerability Detection Approach for PHP Application
inferred← citeshttps://doi.org/10.3390/app13031710openalex-snapshot
Exploring the Intersection between Software Maintenance and Machine Learning—A Systematic Mapping Study
inferred← citeshttps://doi.org/10.3390/app15179358openalex-snapshot
Defect Detection in Source Code via Multimodal Feature Fusion
inferred← citeshttps://doi.org/10.48550/arxiv.2102.02923openalex-snapshot
PredCoin: Defense against Query-based Hard-label Attack
inferred← citeshttps://doi.org/10.48550/arxiv.2102.04664openalex-snapshot
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
inferred← citeshttps://doi.org/10.48550/arxiv.2106.10789openalex-snapshot
An empirical evaluation of the usefulness of Tree Kernels for Commit-time Defect Detection in large software systems
inferred← citeshttps://doi.org/10.48550/arxiv.2107.01933openalex-snapshot
CoCoSum: Contextual Code Summarization with Multi-Relational Graph Neural Network
inferred← citeshttps://doi.org/10.48550/arxiv.2107.06657openalex-snapshot
DeepMutants: Training neural bug detectors with contextual mutations
inferred← citeshttps://doi.org/10.48550/arxiv.2109.03341openalex-snapshot
Software Vulnerability Detection via Deep Learning over Disaggregated Code Graph Representation
inferred← citeshttps://doi.org/10.48550/arxiv.2110.09610openalex-snapshot
A Survey on Machine Learning Techniques for Source Code Analysis
inferred← citeshttps://doi.org/10.5220/0009511803600366openalex-snapshot
Representing Programs with Dependency and Function Call Graphs for Learning Hierarchical Embeddings
inferred← citeshttps://doi.org/10.70675/04cad5d8zd06bz482dzbeb8z19b24a8aa3b5openalex-snapshot
A graph based end to end defect prediction framework.
inferred← citeshttps://doi.org/10.7717/peerj-cs.739openalex-snapshot
Software defect prediction using hybrid model (CBIL) of convolutional neural network (CNN) and bidirectional long short-term memory (Bi-LSTM)
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