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REFERENCES

1 
Clang Static Analyzer., accessed on July, 2021URL
2 
Flawfinder., accessed on July, 2021URL
3 
Infer., accessed on July, 2021URL
4 
National Vulnerability Database, American Information Technology Laboratory, accessed on July, 2021URL
5 
Yamaguchi F., Golde N., Arp D., Rieck K, 2014, Modeling and discovering vulnerabilities with code property graphs., 2014 IEEE Symposium on Security and Privacy, IEEE, pp. 590-604DOI
6 
Zhou Jie, et al. , 2020, Graph neural networks: A review of methods and applications., AI Open, Vol. 1, pp. 57-81DOI
7 
Hamilton William L. , Rex Ying , Jure Leskovec. , 2017, Inductive representation learning on large graphs., Proceedings of the 31st International Conference on Neural Information Processing Systems, pp. 1025-1035URL
8 
Zhou Yaqin , et al. , 2019, Devign: Effective vulnerability identification by learning comprehensive program semantics via graph neural networks., arXiv preprint arXiv:1909.03496URL
9 
Cheng Xiao, et al. , 2021, DeepWukong: Statically detecting software vulnerabilities using deep graph neural network., ACM Transactions on Software Engineering and Methodology (TOSEM), Vol. 30, No. 3, pp. 1-33DOI
10 
Juliet Test Suite for C/C++ Version 1.3., accessed on July, 2021URL
11 
Ferrante, Jeanne , Karl J. Ottenstein , Joe D. Warren. , 1987, The program dependence graph and its use in optimization., ACM Transactions on Programming Languages and Systems (TOPLAS), Vol. 9, No. 3, pp. 319-349DOI
12 
Steffen, Bernhard , Jens Knoop , Oliver Rüthing. , 1990, The value flow graph: A program representation for optimal program transformations., European Symposium on Programming. Springer, Berlin, Heidelberg, pp. 389-405DOI
13 
Joern., accessed on July, 2021URL
14 
Sui. Yulei , Jingling Xue. , 2016, SVF: interprocedural static value-flow analysis in LLVM., Proceedings of the 25th international conference on compiler constructionDOI
15 
Le, Quoc , Tomas Mikolov. , 2014, Distributed representations of sentences and documents., International conference on machine learning (PMLR)URL
16 
Kipf, Thomas N. , Max Welling. , 2016, Semi-supervised classification with graph convolutional networks., arXiv preprint arXiv:1609.02907URL
17 
Li, Yujia , et al. , 2015, Gated graph sequence neural networks., arXiv preprint arXiv:1511.05493URL