A.-K. Wickert, M. Schlichtig, M. Vogel, L. Winter, M. Mezini, and E. Bodden, Supporting Error Chains in Static Analysis for Precise Evaluation Results and Enhanced Usability. 2024.

M. Nachtigall, M. Schlichtig, and E. Bodden, “Evaluation of Usability Criteria Addressed by Static Analysis Tools on a Large Scale,” in Software Engineering 2023, Bonn: Gesellschaft für Informatik e.V., 2023, pp. 95–96.

M. Schlichtig, S. Sassalla, K. Narasimhan, and E. Bodden, “Introducing FUM: A Framework for API Usage Constraint and Misuse Classification,” in Software Engineering 2023, Bonn: Gesellschaft für Informatik e.V., 2023, pp. 105–106.

M. Schlichtig, A.-K. Wickert, S. Krüger, E. Bodden, and M. Mezini, CamBench -- Cryptographic API Misuse Detection Tool Benchmark Suite. 2022.

M. Nachtigall, M. Schlichtig, and E. Bodden, “A Large-Scale Study of Usability Criteria Addressed by Static Analysis Tools,”10.1145/3533767__in Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, 2022, pp. 532–543, doi:10.1145/3533767 .

M. Schlichtig, S. Sassalla, K. Narasimhan, and E. 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), 2022, pp. 673–684, doi:https://doi.org/10.1109/SANER53432.2022.00085 .

A.-K. Wickert, L. Baumgärtner, M. Schlichtig, and M. Mezini, To Fix or Not to Fix: A Critical Study of Crypto-misuses in the Wild. 2022.

S. A. Opel and M. 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, Siegen, 2020, vol. 55, pp. 176–194, doi:https://doi.org/10.3278/6004722w .

M. Schlichtig, S. A. Opel, L. Budde, and C. 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, Lanarca, 2019, vol. 12, pp. 65–73.

S. A. Opel et al., “Entwicklung und Reflexion einer Unterrichtssequenz zum Maschinellen Lernen als Aspekt von Data Science in der Sekundarstufe II,” in INFOS, 2019, vol. P-288, pp. 285–294.

M. Schlichtig et al., “Maschinelles Lernen im Unterricht mit Jupyter Notebook,” in INFOS, 2019, vol. P-288, p. 385.

S. A. Opel, M. Schlichtig, and C. Schulte, “Developing Teaching Materials on Artificial Intelligence by Using a Simulation Game (Work in Progress),” in WiPSCE, 2019, p. 11:1-11:2.

K. Bemmann et al., “Fully-Featured Anonymous Credentials with Reputation System,” in Proceedings of the 13th International Conference on Availability, Reliability and Security - ARES ’18, Hamburg, Germany.