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Vulnerability Detection Using Static Application Security Testing and Artificial Intelligence Techniques

https://doi.org/10.2139/ssrn.7395374
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bf02295996openalex-snapshot
Note on the Sampling Error of the Difference Between Correlated Proportions or Percentages
inferredcites →https://doi.org/10.1007/s10664-023-10354-3openalex-snapshot
Can the configuration of static analyses make resolving security vulnerabilities more effective? - A user study
inferredcites →https://doi.org/10.1016/j.infsof.2015.08.002openalex-snapshot
On the capability of static code analysis to detect security vulnerabilities
inferredcites →https://doi.org/10.1080/01621459.1927.10502953openalex-snapshot
Probable Inference, the Law of Succession, and Statistical Inference
inferredcites →https://doi.org/10.1109/sp61157.2025.00137openalex-snapshot
Detecting Taint-Style Vulnerabilities in Microservice-Structured Web Applications
inferredcites →https://doi.org/10.1109/tr.2023.3286301openalex-snapshot
Study of JavaScript Static Analysis Tools for Vulnerability Detection in Node.js Packages
inferredcites →https://doi.org/10.1145/3533767.3534380openalex-snapshot
An empirical study on the effectiveness of static C code analyzers for vulnerability detection
inferredcites →https://doi.org/10.1145/3611643.3616262openalex-snapshot
Comparison and Evaluation on Static Application Security Testing (SAST) Tools for Java
inferredcites →https://doi.org/10.14722/ndss.2025.241491openalex-snapshot
From Large to Mammoth: A Comparative Evaluation of Large Language Models in Zero-Shot Vulnerability Detection
inferredcites →https://doi.org/10.14722/ndss.2026.241721openalex-snapshot
TranSPArent: Taint-style Vulnerability Detection in Generic Single Page Applications through Automated Framework Abstraction
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