CODE-SMASH: Source-Code Vulnerability Detection Using Siamese and Multi-Level Neural Architecture.
Sungmin HanHyunkyung NamJaesik KangKwangsoo KimSeungjae ChoSangkyun LeePublished in: IEEE Access (2024)
Keyphrases
- source code
- neural architecture
- open source
- software systems
- static analysis
- software projects
- program understanding
- neural network
- version control
- linux kernel
- plagiarism detection
- program slicing
- software maintenance
- reverse engineer
- source files
- software evolution
- multilayer perceptron
- feed forward
- software repositories
- high level
- case study
- real world
- activation function
- visual basic
- legacy systems
- basis functions
- symbolic execution
- back propagation
- artificial neural networks