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 Description