Challenges in Android Data Disclosure: An Empirical Study.
M. Khedkar, M. Schlichtig, M.A.M. Soliman, E. Bodden, in: Proceedings of the IEEE/ACM 13th International Conference on Mobile Software Engineering and Systems (MOBILESoft ’26). Association for Computing Machinery, New York, NY, USA, 65–68., 2026.

Between Law and Code: Challenges and Opportunities for Automating Privacy Assessments
M. Khedkar, M. Schlichtig, N. Atakishiyev, E. Bodden, Automated Software Engineering  33 (2026).

FP-Predictor - False Positive Prediction for Static Analysis Reports
T. Ohlmer, M. Schlichtig, E. Bodden, ArXiv:2603.10558 (2026).

From Legacy Designs to Vulnerability Fixes: Understanding SAST Adoption in Non-Technological Companies
L. Amaral, M. Schlichtig, W. Emanuel, J. Almeida, C. Ferreira, J. Kempf, R. Bonifácio, E. Bodden, L. Peotta, G. Pinto, M. Ribeiro, in: 2026 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026.

Source Code-Driven GDPR Documentation: Supporting RoPA with Assessor View
M. Khedkar, M. Schlichtig, E. Bodden, in: IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026.

Visualizing Privacy-Relevant Data Flows in Android Applications
M. Khedkar, M. Schlichtig, S. Mohan, E. Bodden, ArXiv:2503.16640 (2025).

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

Advancing Android Privacy Assessments with Automation
M. Khedkar, M. Schlichtig, E. Bodden, in: In Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW ’24), 2024.

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

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

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

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

FUM - A Framework for API Usage constraint and Misuse Classification
M. Schlichtig, S. Sassalla, K. Narasimhan, E. Bodden, in: 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2022, pp. 673–684.

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

Data Science und Big Data in der beruflichen Bildung – Konzeption und Erprobung eines Projektkurses für die Sekundarstufe II
S.A. Opel, M. Schlichtig, in: T. Vollmer, T. Karges, T. Richter, B. Schlömer, S. Schütt-Sayed (Eds.), Sammelband der 27. Fachtagung der BAG Berufliche Bildung, wbv Media GmbH &; Co. KG, Bielefeld, 2020, pp. 176–194.

Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material
M. Schlichtig, S.A. Opel, L. Budde, C. Schulte, in: E. Jasut, S. Pozdniakov (Eds.), ISSEP 2019 - 12th International Conference on Informatics in Schools: Situation, Evaluation and Perspectives, Local Proceedings, 2019, pp. 65–73.

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

Maschinelles Lernen im Unterricht mit Jupyter Notebook
M. Schlichtig, S. Opel, C. Schulte, R. Biehler, D. Frischemeier, S. Podworny, T. Wassong, in: A. Pasternak (Ed.), Informatik für alle, Gesellschaft für Informatik, Bonn, 2019, p. 385.

Fully-Featured Anonymous Credentials with Reputation System
K. Bemmann, J. Blömer, J. Bobolz, H. Bröcher, D.P. Diemert, F. Eidens, L. Eilers, J.F. Haltermann, J. Juhnke, B. Otour, L.A. Porzenheim, S. Pukrop, E. Schilling, M. Schlichtig, M. Stienemeier, in: Proceedings of the 13th International Conference on Availability, Reliability and Security - ARES ’18, ACM, New York, NY, USA, n.d.