Wickert, Anna-Katharina, Michael Schlichtig, Marvin Vogel, Lukas Winter, Mira Mezini, and Eric Bodden. Supporting Error Chains in Static Analysis for Precise Evaluation Results and Enhanced Usability, 2024.
LibreCat: /record/52663

Nachtigall, Marcus, Michael Schlichtig, and Eric Bodden. “Evaluation of Usability Criteria Addressed by Static Analysis Tools on a Large Scale.” In Software Engineering 2023, 95–96. Bonn: Gesellschaft für Informatik e.V., 2023.
LibreCat: /record/52662

Schlichtig, Michael, Steffen Sassalla, Krishna Narasimhan, and Eric Bodden. “Introducing FUM: A Framework for API Usage Constraint and Misuse Classification.” In Software Engineering 2023, 105–106. Bonn: Gesellschaft für Informatik e.V., 2023.
LibreCat: /record/52660

Schlichtig, Michael, Anna-Katharina Wickert, Stefan Krüger, Eric Bodden, and Mira Mezini. CamBench -- Cryptographic API Misuse Detection Tool Benchmark Suite, 2022.https://doi.org/10.48550/ARXIV.2204.06447 .
LibreCat: /record/32409
DOI: 10.48550/ARXIV.2204.06447

Nachtigall, Marcus, Michael Schlichtig, and Eric Bodden. “A Large-Scale Study of Usability Criteria Addressed by Static Analysis Tools.”https://doi.org/10.1145/3533767__In Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, 532–43. ACM, 2022.https://doi.org/10.1145/3533767 .
LibreCat: /record/32410
DOI: 10.1145/3533767

Schlichtig, Michael, Steffen Sassalla, Krishna Narasimhan, and Eric Bodden. “FUM - A Framework for API Usage Constraint and Misuse Classification.”https://doi.org/10.1109/SANER53432.2022.00085__In 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 673–84, 2022.https://doi.org/10.1109/SANER53432.2022.00085 .
LibreCat: /record/31133
DOI: https://doi.org/10.1109/SANER53432.2022.00085

Wickert, Anna-Katharina, Lars Baumgärtner, Michael Schlichtig, and Mira Mezini. To Fix or Not to Fix: A Critical Study of Crypto-Misuses in the Wild, 2022.https://doi.org/10.48550/ARXIV.2209.11103 .
LibreCat: /record/33959
DOI: 10.48550/ARXIV.2209.11103

Opel, Simone Anna, and Michael Schlichtig. “Data Science und Big Data in der beruflichen Bildung – Konzeption und Erprobung eines Projektkurses für die Sekundarstufe II.”https://doi.org/10.3278/6004722w__In Sammelband der 27. Fachtagung der BAG Berufliche Bildung, edited by Thomas Vollmer, Torben Karges, Tim Richter, Britta Schlömer, and Sören Schütt-Sayed, 55:176–94. Berufsbildung, Arbeit und Innovation. Bielefeld: wbv Media GmbH &; Co. KG, 2020.https://doi.org/10.3278/6004722w .
LibreCat: /record/29298
DOI: https://doi.org/10.3278/6004722w

Schlichtig, Michael, Simone Anna Opel, Lea Budde, and Carsten Schulte. “Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material.” In ISSEP 2019 - 12th International Conference on Informatics in Schools: Situation, Evaluation and Perspectives, Local Proceedings, edited by Egl Jasut and Sergei Pozdniakov, 12:65–73, 2019.
LibreCat: /record/15332

Opel, Simone Anna, Michael Schlichtig, Carsten Schulte, Rolf Biehler, Daniel Frischemeier, Susanne Podworny, and Thomas Wassong. “Entwicklung und Reflexion einer Unterrichtssequenz zum Maschinellen Lernen als Aspekt von Data Science in der Sekundarstufe II.” In INFOS, P-288:285–94. LNI. Gesellschaft für Informatik, 2019.
LibreCat: /record/15640

Schlichtig, Michael, Simone Anna Opel, Carsten Schulte, Rolf Biehler, Daniel Frischemeier, Susanne Podworny, and Thomas Wassong. “Maschinelles Lernen im Unterricht mit Jupyter Notebook.” In INFOS, P-288:385. LNI. Gesellschaft für Informatik, 2019.
LibreCat: /record/15641

Opel, Simone Anna, Michael Schlichtig, and Carsten Schulte. “Developing Teaching Materials on Artificial Intelligence by Using a Simulation Game (Work in Progress).” In WiPSCE, 11:1-11:2. ACM, 2019.
LibreCat: /record/15643

Bemmann, Kai, Johannes Blömer, Jan Bobolz, Henrik Bröcher, Denis Pascal Diemert, Fabian Eidens, Lukas Eilers, et al. “Fully-Featured Anonymous Credentials with Reputation System.”https://doi.org/10.1145/3230833.3234517__In Proceedings of the 13th International Conference on Availability, Reliability and Security - ARES ’18. New York, NY, USA: ACM, n.d.https://doi.org/10.1145/3230833.3234517 .
LibreCat: /record/3265
DOI: 10.1145/3230833.3234517