Can I read SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection on EtoBox?

SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection by Wen, Xin-Cheng; Gao, Cuiyun; Gao, Shuzheng; Xiao, Yang; Lyu, Michael R. is a scholarly article available to read on EtoBox.

What is SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection about?

Recently, there has been a growing interest in automatic software vulnerability detection. Pre-trained model-based approaches have demonstrated superior performance than other Deep Learning (DL)-based approaches in detecting vulnerabilities. However, the existing pre-trained model-based approaches generally employ code sequences as input during prediction, and may ignore vulnerability-related structural information, as reflected in the following two aspects. First, they tend to fail to infer the semantics of the code statements with complex logic such as those containing multiple operators and pointers. Second, they are hard to comprehend various code execution sequences, which is essential for precise vulnerability detection. To mitigate the challenges, we propose a Structured Natural Language Comment tree-based vulnerAbiLity dEtection framework based on the pre-trained models, named SCALE. The proposed Structured Natural Language Comment Tree (SCT) integrates the semantics of code statements with code execution sequences based on the Abstract Syntax Trees (ASTs). Specifically, SCALE comprises three main modules: (1) Comment Tree Construction, which aims at enhancing the model's a

Author

Wen, Xin-Cheng; Gao, Cuiyun; Gao, Shuzheng; Xiao, Yang; Lyu, Michael R.

Published

2024

Language

EN