22 Publications

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[22]
2026 | Conference Paper | LibreCat-ID: 64823
Khedkar, M., Schlichtig, M., Soliman, M. A. M., & Bodden, E. (2026). Challenges in Android Data Disclosure: An Empirical Study. 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. 13th International Conference on Mobile Software Engineering and Systems 2024, Rio de Janeiro, Brazil.
LibreCat | arXiv
 
[21]
2026 | Journal Article | LibreCat-ID: 64821
Khedkar, M., Schlichtig, M., Atakishiyev, N., & Bodden, E. (2026). Between Law and Code: Challenges and Opportunities for Automating Privacy Assessments. Automated Software Engineering , 33(2), Article 56. https://doi.org/10.1007/s10515-026-00601-4
LibreCat | DOI
 
[20]
2026 | Conference Paper | LibreCat-ID: 64909
Khedkar, M., Schlichtig, M., & Bodden, E. (2026). Source Code-Driven GDPR Documentation: Supporting RoPA with Assessor View. IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2026).
LibreCat | Download (ext.)
 
[19]
2026 | Preprint | LibreCat-ID: 65017
Ohlmer, T., Schlichtig, M., & Bodden, E. (2026). FP-Predictor - False Positive Prediction for Static Analysis Reports. In arXiv:2603.10558.
LibreCat | arXiv
 
[18]
2026 | Conference Paper | LibreCat-ID: 65030
Amaral, L., Schlichtig, M., Emanuel, W., Almeida, J., Ferreira, C., Kempf, J., Bonifácio, R., Bodden, E., Peotta, L., Pinto, G., & Ribeiro, M. (2026). From Legacy Designs to Vulnerability Fixes: Understanding SAST Adoption in Non-Technological Companies. 2026 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER).
LibreCat
 
[17]
2025 | Preprint | LibreCat-ID: 65018
Khedkar, M., Schlichtig, M., Mohan, S., & Bodden, E. (2025). Visualizing Privacy-Relevant Data Flows in Android Applications. In arXiv:2503.16640.
LibreCat | arXiv
 
[16]
2024 | Misc | LibreCat-ID: 52663
Wickert, A.-K., Schlichtig, M., Vogel, M., Winter, L., Mezini, M., & Bodden, E. (2024). Supporting Error Chains in Static Analysis for Precise Evaluation Results and Enhanced Usability.
LibreCat | Download (ext.)
 
[15]
2024 | Conference Paper | LibreCat-ID: 56140
Khedkar, M., Schlichtig, M., & Bodden, E. (2024). Advancing Android Privacy Assessments with Automation. In Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW ’24). 39th IEEE/ACM International Conference on Automated Software Engineering (ASE 2024), Sacramento, California. https://doi.org/10.1145/3691621.3694953
LibreCat | Files available | DOI | arXiv
 
[14]
2023 | Book Chapter | LibreCat-ID: 52662
Nachtigall, M., Schlichtig, M., & Bodden, E. (2023). Evaluation of Usability Criteria Addressed by Static Analysis Tools on a Large Scale. In Software Engineering 2023 (pp. 95–96). Gesellschaft für Informatik e.V.
LibreCat | Download (ext.)
 
[13]
2023 | Book Chapter | LibreCat-ID: 52660
Schlichtig, M., Sassalla, S., Narasimhan, K., & Bodden, E. (2023). Introducing FUM: A Framework for API Usage Constraint and Misuse Classification. In Software Engineering 2023 (pp. 105–106). Gesellschaft für Informatik e.V.
LibreCat | Download (ext.)
 
[12]
2022 | Misc | LibreCat-ID: 32409
Schlichtig, M., Wickert, A.-K., Krüger, S., Bodden, E., & Mezini, M. (2022). CamBench -- Cryptographic API Misuse Detection Tool Benchmark Suite. https://doi.org/10.48550/ARXIV.2204.06447
LibreCat | Files available | DOI
 
[11]
2022 | Conference Paper | LibreCat-ID: 32410
Nachtigall, M., Schlichtig, M., & Bodden, E. (2022). A Large-Scale Study of Usability Criteria Addressed by Static Analysis Tools. Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, 532–543. https://doi.org/10.1145/3533767
LibreCat | Files available | DOI
 
[10]
2022 | Conference Paper | LibreCat-ID: 31133
Schlichtig, M., Sassalla, S., Narasimhan, K., & Bodden, E. (2022). FUM - A Framework for API Usage constraint and Misuse Classification. 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 673–684. https://doi.org/10.1109/SANER53432.2022.00085
LibreCat | Files available | DOI
 
[9]
2022 | Misc | LibreCat-ID: 33959
Wickert, A.-K., Baumgärtner, L., Schlichtig, M., & Mezini, M. (2022). To Fix or Not to Fix: A Critical Study of Crypto-misuses in the Wild. https://doi.org/10.48550/ARXIV.2209.11103
LibreCat | Files available | DOI
 
[8]
2020 | Conference Paper | LibreCat-ID: 29298 | OA
Opel, S. A., & Schlichtig, M. (2020). Data Science und Big Data in der beruflichen Bildung – Konzeption und Erprobung eines Projektkurses für die Sekundarstufe II. In T. Vollmer, T. Karges, T. Richter, B. Schlömer, & S. Schütt-Sayed (Eds.), Sammelband der 27. Fachtagung der BAG Berufliche Bildung (Vol. 55, pp. 176–194). wbv Media GmbH & Co. KG. https://doi.org/10.3278/6004722w
LibreCat | DOI | Download (ext.)
 
[7]
2019 | Conference Paper | LibreCat-ID: 15332
Schlichtig, M., Opel, S. A., Budde, L., & Schulte, C. (2019). Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material. In E. Jasutė & S. Pozdniakov (Eds.), ISSEP 2019 - 12th International conference on informatics in schools: Situation, evaluation and perspectives, Local Proceedings (Vol. 12, pp. 65–73).
LibreCat | Download (ext.)
 
[6]
2019 | Conference Paper | LibreCat-ID: 15640
Opel, S. A., Schlichtig, M., Schulte, C., Biehler, R., Frischemeier, D., Podworny, S., & Wassong, T. (2019). Entwicklung und Reflexion einer Unterrichtssequenz zum Maschinellen Lernen als Aspekt von Data Science in der Sekundarstufe II. INFOS, P-288, 285–294.
LibreCat
 
[5]
2019 | Conference Paper | LibreCat-ID: 15641
Schlichtig, M., Opel, S. A., Schulte, C., Biehler, R., Frischemeier, D., Podworny, S., & Wassong, T. (2019). Maschinelles Lernen im Unterricht mit Jupyter Notebook. INFOS, P-288, 385.
LibreCat
 
[4]
2019 | Conference Paper | LibreCat-ID: 15643
Opel, S. A., Schlichtig, M., & Schulte, C. (2019). Developing Teaching Materials on Artificial Intelligence by Using a Simulation Game (Work in Progress). WiPSCE, 11:1-11:2.
LibreCat
 
[3]
2019 | Conference Paper | LibreCat-ID: 14848
Schlichtig, M., Opel, S., Schulte, C., Biehler, R., Frischemeier, D., Podworny, S., & Wassong, T. (2019). Maschinelles Lernen im Unterricht mit Jupyter Notebook. In A. Pasternak (Ed.), Informatik für alle (p. 385). Gesellschaft für Informatik.
LibreCat | Download (ext.)
 
[2]
2019 | Conference Paper | LibreCat-ID: 14847
Opel, S., Schlichtig, M., Schulte, C., Biehler, R., Frischemeier, D., Podworny, S., & Wassong, T. (2019). Entwicklung und Reflexion einer Unterrichtssequenz zum Maschinellen Lernen als Aspekt von Data Science in der Sekundarstufe II. In A. Pasternak (Ed.), Informatik für alle (pp. 285–294). Gesellschaft für Informatik.
LibreCat | Download (ext.)
 
[1]
2018 | Conference Paper | LibreCat-ID: 3265 | OA
Bemmann, K., Blömer, J., Bobolz, J., Bröcher, H., Diemert, D. P., Eidens, F., … Stienemeier, M. (n.d.). Fully-Featured Anonymous Credentials with Reputation System. In Proceedings of the 13th International Conference on Availability, Reliability and Security - ARES ’18. New York, NY, USA: ACM. https://doi.org/10.1145/3230833.3234517
LibreCat | Files available | DOI | Download (ext.)
 

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22 Publications

Mark all

[22]
2026 | Conference Paper | LibreCat-ID: 64823
Khedkar, M., Schlichtig, M., Soliman, M. A. M., & Bodden, E. (2026). Challenges in Android Data Disclosure: An Empirical Study. 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. 13th International Conference on Mobile Software Engineering and Systems 2024, Rio de Janeiro, Brazil.
LibreCat | arXiv
 
[21]
2026 | Journal Article | LibreCat-ID: 64821
Khedkar, M., Schlichtig, M., Atakishiyev, N., & Bodden, E. (2026). Between Law and Code: Challenges and Opportunities for Automating Privacy Assessments. Automated Software Engineering , 33(2), Article 56. https://doi.org/10.1007/s10515-026-00601-4
LibreCat | DOI
 
[20]
2026 | Conference Paper | LibreCat-ID: 64909
Khedkar, M., Schlichtig, M., & Bodden, E. (2026). Source Code-Driven GDPR Documentation: Supporting RoPA with Assessor View. IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2026).
LibreCat | Download (ext.)
 
[19]
2026 | Preprint | LibreCat-ID: 65017
Ohlmer, T., Schlichtig, M., & Bodden, E. (2026). FP-Predictor - False Positive Prediction for Static Analysis Reports. In arXiv:2603.10558.
LibreCat | arXiv
 
[18]
2026 | Conference Paper | LibreCat-ID: 65030
Amaral, L., Schlichtig, M., Emanuel, W., Almeida, J., Ferreira, C., Kempf, J., Bonifácio, R., Bodden, E., Peotta, L., Pinto, G., & Ribeiro, M. (2026). From Legacy Designs to Vulnerability Fixes: Understanding SAST Adoption in Non-Technological Companies. 2026 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER).
LibreCat
 
[17]
2025 | Preprint | LibreCat-ID: 65018
Khedkar, M., Schlichtig, M., Mohan, S., & Bodden, E. (2025). Visualizing Privacy-Relevant Data Flows in Android Applications. In arXiv:2503.16640.
LibreCat | arXiv
 
[16]
2024 | Misc | LibreCat-ID: 52663
Wickert, A.-K., Schlichtig, M., Vogel, M., Winter, L., Mezini, M., & Bodden, E. (2024). Supporting Error Chains in Static Analysis for Precise Evaluation Results and Enhanced Usability.
LibreCat | Download (ext.)
 
[15]
2024 | Conference Paper | LibreCat-ID: 56140
Khedkar, M., Schlichtig, M., & Bodden, E. (2024). Advancing Android Privacy Assessments with Automation. In Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW ’24). 39th IEEE/ACM International Conference on Automated Software Engineering (ASE 2024), Sacramento, California. https://doi.org/10.1145/3691621.3694953
LibreCat | Files available | DOI | arXiv
 
[14]
2023 | Book Chapter | LibreCat-ID: 52662
Nachtigall, M., Schlichtig, M., & Bodden, E. (2023). Evaluation of Usability Criteria Addressed by Static Analysis Tools on a Large Scale. In Software Engineering 2023 (pp. 95–96). Gesellschaft für Informatik e.V.
LibreCat | Download (ext.)
 
[13]
2023 | Book Chapter | LibreCat-ID: 52660
Schlichtig, M., Sassalla, S., Narasimhan, K., & Bodden, E. (2023). Introducing FUM: A Framework for API Usage Constraint and Misuse Classification. In Software Engineering 2023 (pp. 105–106). Gesellschaft für Informatik e.V.
LibreCat | Download (ext.)
 
[12]
2022 | Misc | LibreCat-ID: 32409
Schlichtig, M., Wickert, A.-K., Krüger, S., Bodden, E., & Mezini, M. (2022). CamBench -- Cryptographic API Misuse Detection Tool Benchmark Suite. https://doi.org/10.48550/ARXIV.2204.06447
LibreCat | Files available | DOI
 
[11]
2022 | Conference Paper | LibreCat-ID: 32410
Nachtigall, M., Schlichtig, M., & Bodden, E. (2022). A Large-Scale Study of Usability Criteria Addressed by Static Analysis Tools. Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, 532–543. https://doi.org/10.1145/3533767
LibreCat | Files available | DOI
 
[10]
2022 | Conference Paper | LibreCat-ID: 31133
Schlichtig, M., Sassalla, S., Narasimhan, K., & Bodden, E. (2022). FUM - A Framework for API Usage constraint and Misuse Classification. 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 673–684. https://doi.org/10.1109/SANER53432.2022.00085
LibreCat | Files available | DOI
 
[9]
2022 | Misc | LibreCat-ID: 33959
Wickert, A.-K., Baumgärtner, L., Schlichtig, M., & Mezini, M. (2022). To Fix or Not to Fix: A Critical Study of Crypto-misuses in the Wild. https://doi.org/10.48550/ARXIV.2209.11103
LibreCat | Files available | DOI
 
[8]
2020 | Conference Paper | LibreCat-ID: 29298 | OA
Opel, S. A., & Schlichtig, M. (2020). Data Science und Big Data in der beruflichen Bildung – Konzeption und Erprobung eines Projektkurses für die Sekundarstufe II. In T. Vollmer, T. Karges, T. Richter, B. Schlömer, & S. Schütt-Sayed (Eds.), Sammelband der 27. Fachtagung der BAG Berufliche Bildung (Vol. 55, pp. 176–194). wbv Media GmbH & Co. KG. https://doi.org/10.3278/6004722w
LibreCat | DOI | Download (ext.)
 
[7]
2019 | Conference Paper | LibreCat-ID: 15332
Schlichtig, M., Opel, S. A., Budde, L., & Schulte, C. (2019). Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material. In E. Jasutė & S. Pozdniakov (Eds.), ISSEP 2019 - 12th International conference on informatics in schools: Situation, evaluation and perspectives, Local Proceedings (Vol. 12, pp. 65–73).
LibreCat | Download (ext.)
 
[6]
2019 | Conference Paper | LibreCat-ID: 15640
Opel, S. A., Schlichtig, M., Schulte, C., Biehler, R., Frischemeier, D., Podworny, S., & Wassong, T. (2019). Entwicklung und Reflexion einer Unterrichtssequenz zum Maschinellen Lernen als Aspekt von Data Science in der Sekundarstufe II. INFOS, P-288, 285–294.
LibreCat
 
[5]
2019 | Conference Paper | LibreCat-ID: 15641
Schlichtig, M., Opel, S. A., Schulte, C., Biehler, R., Frischemeier, D., Podworny, S., & Wassong, T. (2019). Maschinelles Lernen im Unterricht mit Jupyter Notebook. INFOS, P-288, 385.
LibreCat
 
[4]
2019 | Conference Paper | LibreCat-ID: 15643
Opel, S. A., Schlichtig, M., & Schulte, C. (2019). Developing Teaching Materials on Artificial Intelligence by Using a Simulation Game (Work in Progress). WiPSCE, 11:1-11:2.
LibreCat
 
[3]
2019 | Conference Paper | LibreCat-ID: 14848
Schlichtig, M., Opel, S., Schulte, C., Biehler, R., Frischemeier, D., Podworny, S., & Wassong, T. (2019). Maschinelles Lernen im Unterricht mit Jupyter Notebook. In A. Pasternak (Ed.), Informatik für alle (p. 385). Gesellschaft für Informatik.
LibreCat | Download (ext.)
 
[2]
2019 | Conference Paper | LibreCat-ID: 14847
Opel, S., Schlichtig, M., Schulte, C., Biehler, R., Frischemeier, D., Podworny, S., & Wassong, T. (2019). Entwicklung und Reflexion einer Unterrichtssequenz zum Maschinellen Lernen als Aspekt von Data Science in der Sekundarstufe II. In A. Pasternak (Ed.), Informatik für alle (pp. 285–294). Gesellschaft für Informatik.
LibreCat | Download (ext.)
 
[1]
2018 | Conference Paper | LibreCat-ID: 3265 | OA
Bemmann, K., Blömer, J., Bobolz, J., Bröcher, H., Diemert, D. P., Eidens, F., … Stienemeier, M. (n.d.). Fully-Featured Anonymous Credentials with Reputation System. In Proceedings of the 13th International Conference on Availability, Reliability and Security - ARES ’18. New York, NY, USA: ACM. https://doi.org/10.1145/3230833.3234517
LibreCat | Files available | DOI | Download (ext.)
 

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