Code vulnerability detection based on augmented program dependency graph and optimized CodeBERT.

Next, a one-way ANOVA was conducted, and the results showed that there were highly significant differences in the F1 scores among the six models (F(5,24) = 8503.29, p < 0.001, \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\eta ^2$$\end{document} = 0.999).

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