Comparing ML-Based Predictions and Static Analyzer Tools for Vulnerability Detection

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作者：
Department of Software Engineering, University of Szeged, Szeged, Hungary [1 ]
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来源：
Lect. Notes Comput. Sci. | 1600年 / 92-105期
关键词：
Number:; ÚNKP-21-5-SZTE-570; Acronym:; MTA; Sponsor: Magyar Tudományos Akadémia; -; NKFIA; Sponsor: Nemzeti Kutatási; Fejlesztési és Innovaciós Alap; Sponsor: Innovációs és Technológiai Minisztérium;
D O I：
22nd International Conference on Computational Science and Its Applications , ICCSA 2022
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学科分类号：
摘要：
Static analysis
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