D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis

2021 IEEE/ACM 43rd International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)(2021)

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摘要
Static analysis tools are widely used for vulnerability detection as they understand programs with complex behavior and millions of lines of code. Despite their popularity, static analysis tools are known to generate an excess of false positives. The recent ability of Machine Learning models to understand programming languages opens new possibilities when applied to static analysis. However, exist...
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关键词
Analytical models,Computer bugs,Static analysis,Machine learning,Tools,History,Software engineering
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