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An Efficient Source Code Transformation Strategy Based on Graph-Based Machine Learning and Generative Ai Techniques

https://doi.org/10.2139/ssrn.5165301
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/smr.2330openalex-snapshot
MPT‐embedding: An unsupervised representation learning of code for software defect prediction
inferredcites →https://doi.org/10.1007/s10586-023-04170-zopenalex-snapshot
Software defect prediction using a bidirectional LSTM network combined with oversampling techniques
inferredcites →https://doi.org/10.1016/j.cageo.2022.105212openalex-snapshot
Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties
inferredcites →https://doi.org/10.1016/j.eswa.2019.113156openalex-snapshot
SLDeep: Statement-level software defect prediction using deep-learning model on static code features
inferredcites →https://doi.org/10.1016/j.infsof.2019.106214openalex-snapshot
A systematic literature review of machine learning techniques for software maintainability prediction
inferredcites →https://doi.org/10.1016/j.jss.2023.111753openalex-snapshot
Semantic feature learning for software defect prediction from source code and external knowledge
inferredcites →https://doi.org/10.1016/j.measen.2024.101115openalex-snapshot
A state-of-the-art universal machine learning framework for decoding suspect coded messages
inferredcites →https://doi.org/10.1016/j.neucom.2023.126352openalex-snapshot
Feature-aware conditional GAN for category text generation
inferredcites →https://doi.org/10.1049/blc2.12046openalex-snapshot
SCGformer: Smart contract vulnerability detection based on control flow graph and transformer
inferredcites →https://doi.org/10.1049/sfw2.12091openalex-snapshot
Retracted: Scientific programming using optimized machine learning techniques for software fault prediction to improve software quality
inferredcites →https://doi.org/10.1109/access.2020.3016774openalex-snapshot
Vulnerability Prediction From Source Code Using Machine Learning
inferredcites →https://doi.org/10.1109/access.2022.3144598openalex-snapshot
Graph Neural Network for Source Code Defect Prediction
inferredcites →https://doi.org/10.1109/access.2022.3196347openalex-snapshot
Code Generation Using Machine Learning: A Systematic Review
inferredcites →https://doi.org/10.1109/access.2023.3287326openalex-snapshot
A Novel Approach to Improve Software Defect Prediction Accuracy Using Machine Learning
inferredcites →https://doi.org/10.1109/access.2024.3362896openalex-snapshot
DP-CCL: A Supervised Contrastive Learning Approach Using CodeBERT Model in Software Defect Prediction
inferredcites →https://doi.org/10.1109/icip51287.2024.10647413openalex-snapshot
Gabic: Graph-Based Attention Block for Image Compression
inferredcites →https://doi.org/10.1109/itnec48623.2020.9084745openalex-snapshot
Software Defect Prediction via Transformer
inferredcites →https://doi.org/10.1109/lgrs.2022.3201003openalex-snapshot
Generative Adversarial Networks Under CutMix Transformations for Multimodal Change Detection
inferredcites →https://doi.org/10.1109/tifs.2020.3044773openalex-snapshot
Combining Graph-Based Learning With Automated Data Collection for Code Vulnerability Detection
inferredcites →https://doi.org/10.1109/tr.2020.3040191openalex-snapshot
Defect Prediction With Semantics and Context Features of Codes Based on Graph Representation Learning
inferredcites →https://doi.org/10.1109/tse.2020.3021736openalex-snapshot
The Effectiveness of Supervised Machine Learning Algorithms in Predicting Software Refactoring
inferredcites →https://doi.org/10.1145/3324884.3416591openalex-snapshot
Multi-task learning based pre-trained language model for code completion
inferredcites →https://doi.org/10.1145/3383458openalex-snapshot
Deep Learning for Source Code Modeling and Generation
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.449openalex-snapshot
A Transformer-based Approach for Source Code Summarization
inferredcites →https://doi.org/10.2172/1901833openalex-snapshot
Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties.
inferredcites →https://doi.org/10.23919/cisti49556.2020.9141124openalex-snapshot
Artificial Intelligence Applied to Software Testing: A Literature Review
inferredcites →https://doi.org/10.3390/su15065517openalex-snapshot
Software Defect Prediction Analysis Using Machine Learning Techniques
inferredcites →https://doi.org/10.48550/arxiv.2102.04664openalex-snapshot
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
inferredcites →https://doi.org/10.48550/arxiv.2210.03561openalex-snapshot
Empowering Graph Representation Learning with Test-Time Graph Transformation
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