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SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair

IEEE transactions on software engineering, 2021-09, Vol.47 (9), p.1943-1959

2021

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Multi-Imbalance: An open-source software for multi-class imbalance learning

Knowledge-based systems, 2019-06, Vol.174, p.137-143

2019

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Commit2Vec: Learning Distributed Representations of Code Changes

SN computer science, 2021-05, Vol.2 (3), p.150, Article 150

2021

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CodeGRU: Context-aware deep learning with gated recurrent unit for source code modeling

Information and software technology, 2020-09, Vol.125, p.106309, Article 106309

2020

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A novel approach for software vulnerability detection based on intelligent cognitive computing

The Journal of supercomputing, 2023-10, Vol.79 (15), p.17042-17078

2023

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Android Source Code Vulnerability Detection: A Systematic Literature Review

ACM computing surveys, 2023-09, Vol.55 (9), p.1-37, Article 187

2023

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Source code expert identification: Models and application

Information and software technology, 2024-06, Vol.170, p.107445, Article 107445

2024

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Predicting unstable software benchmarks using static source code features

Empirical software engineering : an international journal, 2021-11, Vol.26 (6), Article 114

2021

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Automatic detection of code smells using metrics and CodeT5 embeddings: a case study in C#

Neural computing & applications, 2024-06, Vol.36 (16), p.9203-9220

2024

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Classification feature sets for source code plagiarism detection in Java

Journal of engineering and applied science (Online), 2022-12, Vol.69 (1), p.1-18, Article 102

2022

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Making the Most of Scarce Input Data in Deep Learning-Based Source Code Classification for Heterogeneous Device Mapping

IEEE transactions on computer-aided design of integrated circuits and systems, 2022-06, Vol.41 (6), p.1636-1648

2022

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Automatic identification of self-admitted technical debt from four different sources

Empirical software engineering : an international journal, 2023-06, Vol.28 (3), p.65, Article 65

2023

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Using machine learning techniques for DSP software performance prediction at source code level

Connection science, 2021-01, Vol.33 (1), p.26-41

2021

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Optimizing software vulnerability detection using RoBERTa and machine learning

Automated software engineering, 2024-11, Vol.31 (2), p.40, Article 40

2024

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Software system comparison with semantic source code embeddings

Empirical software engineering : an international journal, 2022-05, Vol.27 (3), Article 70

2022

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Programmers' de-anonymization using a hybrid approach of abstract syntax tree and deep learning

Technological forecasting & social change, 2020-10, Vol.159, p.120186, Article 120186

2020

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Detection of web service anti-patterns using weighted extreme learning machine

Computer standards and interfaces, 2022-08, Vol.82, p.103621, Article 103621

2022

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Tensor‐based gated graph neural network for automatic vulnerability detection in source code

Software testing, verification & reliability, 2024-03, Vol.34 (2), p.n/a

2024

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Dataset Characteristics for Reliable Code Authorship Attribution

IEEE transactions on dependable and secure computing, 2023-01, Vol.20 (1), p.506-521

2023

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Leveraging structural properties of source code graphs for just-in-time bug prediction

Automated software engineering, 2022-05, Vol.29 (1), p.27, Article 27

2022

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Utilizing source code syntax patterns to detect bug inducing commits using machine learning models

Software quality journal, 2023-09, Vol.31 (3), p.775-807

2023

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Summarizing Software Artifacts： A Literature Review

Journal of computer science and technology, 2016-09, Vol.31 (5), p.883-909

2016

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A Survey of Automatic Source Code Summarization

Symmetry (Basel), 2022-03, Vol.14 (3), p.471

2022

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Harnessing deep learning algorithms to predict software refactoring

Telkomnika, 2020-12, Vol.18 (6), p.2977-2982

2020

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COMET: A conceptual coupling based metrics suite for software defect prediction

Procedia computer science, 2020, Vol.176, p.31-40

2020

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SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair

Multi-Imbalance: An open-source software for multi-class imbalance learning

Commit2Vec: Learning Distributed Representations of Code Changes

CodeGRU: Context-aware deep learning with gated recurrent unit for source code modeling

A novel approach for software vulnerability detection based on intelligent cognitive computing

Android Source Code Vulnerability Detection: A Systematic Literature Review

Source code expert identification: Models and application

Predicting unstable software benchmarks using static source code features

Automatic detection of code smells using metrics and CodeT5 embeddings: a case study in C#

Classification feature sets for source code plagiarism detection in Java

Making the Most of Scarce Input Data in Deep Learning-Based Source Code Classification for Heterogeneous Device Mapping

Automatic identification of self-admitted technical debt from four different sources

Using machine learning techniques for DSP software performance prediction at source code level

Optimizing software vulnerability detection using RoBERTa and machine learning

Software system comparison with semantic source code embeddings

Programmers' de-anonymization using a hybrid approach of abstract syntax tree and deep learning

Detection of web service anti-patterns using weighted extreme learning machine

Tensor‐based gated graph neural network for automatic vulnerability detection in source code

Dataset Characteristics for Reliable Code Authorship Attribution

Leveraging structural properties of source code graphs for just-in-time bug prediction

Utilizing source code syntax patterns to detect bug inducing commits using machine learning models

Summarizing Software Artifacts： A Literature Review

A Survey of Automatic Source Code Summarization

Harnessing deep learning algorithms to predict software refactoring

COMET: A conceptual coupling based metrics suite for software defect prediction

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