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Boomerang: Demand-Driven Flow- and Context-Sensitive Pointer Analysis for Java.

, , , and . ECOOP, volume 56 of LIPIcs, page 22:1-22:26. Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, (2016)

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CrySL: An Extensible Approach to Validating the Correct Usage of Cryptographic APIs., , , , and . ECOOP, volume 109 of LIPIcs, page 10:1-10:27. Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, (2018)Boomerang: Demand-Driven Flow- and Context-Sensitive Pointer Analysis for Java., , , and . ECOOP, volume 56 of LIPIcs, page 22:1-22:26. Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, (2016)IDEal: efficient and precise alias-aware dataflow analysis., , and . Proc. ACM Program. Lang., 1 (OOPSLA): 99:1-99:27 (2017)Access-Path Abstraction: Scaling Field-Sensitive Data-Flow Analysis with Unbounded Access Paths (T)., , , and . ASE, page 619-629. IEEE Computer Society, (2015)Boomerang: Demand-Driven Flow- and Context-Sensitive Pointer Analysis for Java (Artifact)., , , and . DARTS, 2 (1): 12:1-12:2 (2016)Synchronized pushdown systems for pointer and data-flow analysis.. University of Paderborn, Germany, (2019)CrySL: An Extensible Approach to Validating the Correct Usage of Cryptographic APIs (Artifact)., , , , and . DARTS, 4 (3): 06:1-06:4 (2018)CrySL: Validating Correct Usage of Cryptographic APIs., , , , and . CoRR, (2017)Synchronisierte Pushdown Systeme für Datenfluss-Analysen.. Ausgezeichnete Informatikdissertationen, volume D-20 of LNI, GI, (2019)Context-, flow-, and field-sensitive data-flow analysis using synchronized Pushdown systems., , and . Proc. ACM Program. Lang., 3 (POPL): 48:1-48:29 (2019)