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Literature survey of deep learning-based vulnerability analysis on source code

  • Published:2020-12-01 Issue:6 Volume:14 Page:654-664
  • ISSN:1751-8806
  • Container-title:IET Software
  • language:en
  • Short-container-title:

Author:

Semasaba Abubakar Omari Abdallah,Zheng Wei,Wu Xiaoxue,Agyemang Samuel Akwasi

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Graphics and Computer-Aided Design

Reference90 articles.

1. Using complexity, coupling, and cohesion metrics as early indicators of vulnerabilities;J. Syst. Archit.,2011

2. Evaluating complexity, code churn, and developer activity metrics as indicators of software vulnerabilities;IEEE Trans. Softw. Eng,2011

3. VUDDY: A scalable approach for vulnerable code clone discovery

4. Redebug: finding unpatched code clones in entire OS distributions

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3. A Static Detection Method for Code Defects Based on Transformer;Proceedings of the 2024 3rd International Conference on Networks, Communications and Information Technology;2024-06-07

4. Software vulnerability detection method based on code attribute graph presentation and Bi-LSTM neural network extraction;International Conference on Computer Network Security and Software Engineering (CNSSE 2024);2024-06-06

5. Effective Application of Artificial Intelligence Techniques in Security Risk Assessment and Dependency Analysis of Open Source Components;Applied Mathematics and Nonlinear Sciences;2024-01-01
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