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Improving Precision of Rule-based SAST Tools by assessing their results using a Graph Neural Network

Improving Precision of Rule-based SAST Tools by assessing their results using a Graph Neural Network

Supervisor(s): Hannah Wester, Daniel Kowatsch
Status: inprogress
Topic: Others
Author: Andreas Frings
Submission: 2023-04-17
Type of Thesis: Masterthesis
Thesis topic in co-operation with the Fraunhofer Institute for Applied and Integrated Security AISEC, Garching

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