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22 Publications
2026 | Conference Paper | LibreCat-ID: 64823
Khedkar, Mugdha, et al. “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., 2026.
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| arXiv
2026 | Journal Article | LibreCat-ID: 64821
Khedkar, Mugdha, et al. “Between Law and Code: Challenges and Opportunities for Automating Privacy Assessments.” Automated Software Engineering , vol. 33, no. 2, 56, Springer US, 2026, doi:10.1007/s10515-026-00601-4.
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| DOI
2026 | Conference Paper | LibreCat-ID: 64909
Khedkar, Mugdha, et al. “Source Code-Driven GDPR Documentation: Supporting RoPA with Assessor View.” IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2026), 2026.
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2026 | Conference Paper | LibreCat-ID: 65030
Amaral, Luis, et al. “From Legacy Designs to Vulnerability Fixes: Understanding SAST Adoption in Non-Technological Companies.” 2026 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2026.
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2024 | Misc | LibreCat-ID: 52663
Wickert, Anna-Katharina, et al. Supporting Error Chains in Static Analysis for Precise Evaluation Results and Enhanced Usability. 2024.
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2024 | Conference Paper | LibreCat-ID: 56140
Khedkar, Mugdha, et al. “Advancing Android Privacy Assessments with Automation.” In Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW ’24), 2024, doi:10.1145/3691621.3694953.
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| DOI
| arXiv
2023 | Book Chapter | LibreCat-ID: 52662
Nachtigall, Marcus, et al. “Evaluation of Usability Criteria Addressed by Static Analysis Tools on a Large Scale.” Software Engineering 2023, Gesellschaft für Informatik e.V., 2023, pp. 95–96.
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2023 | Book Chapter | LibreCat-ID: 52660
Schlichtig, Michael, et al. “Introducing FUM: A Framework for API Usage Constraint and Misuse Classification.” Software Engineering 2023, Gesellschaft für Informatik e.V., 2023, pp. 105–106.
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2022 | Misc | LibreCat-ID: 32409
Schlichtig, Michael, et al. CamBench -- Cryptographic API Misuse Detection Tool Benchmark Suite. 2022, doi:10.48550/ARXIV.2204.06447.
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2022 | Conference Paper | LibreCat-ID: 32410
Nachtigall, Marcus, et al. “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, ACM, 2022, pp. 532–43, doi:10.1145/3533767.
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2022 | Conference Paper | LibreCat-ID: 31133
Schlichtig, Michael, et al. “FUM - A Framework for API Usage Constraint and Misuse Classification.” 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2022, pp. 673–84, doi:https://doi.org/10.1109/SANER53432.2022.00085.
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2022 | Misc | LibreCat-ID: 33959
Wickert, Anna-Katharina, et al. To Fix or Not to Fix: A Critical Study of Crypto-Misuses in the Wild. 2022, doi:10.48550/ARXIV.2209.11103.
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2020 | Conference Paper | LibreCat-ID: 29298 | 
Opel, Simone Anna, and Michael Schlichtig. “Data Science und Big Data in der beruflichen Bildung – Konzeption und Erprobung eines Projektkurses für die Sekundarstufe II.” Sammelband der 27. Fachtagung der BAG Berufliche Bildung, edited by Thomas Vollmer et al., vol. 55, wbv Media GmbH & Co. KG, 2020, pp. 176–94, doi:https://doi.org/10.3278/6004722w.
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2019 | Conference Paper | LibreCat-ID: 15332
Schlichtig, Michael, et al. “Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material.” ISSEP 2019 - 12th International Conference on Informatics in Schools: Situation, Evaluation and Perspectives, Local Proceedings, edited by Eglė Jasutė and Sergei Pozdniakov, vol. 12, 2019, pp. 65–73.
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2019 | Conference Paper | LibreCat-ID: 15640
Opel, Simone Anna, et al. “Entwicklung und Reflexion einer Unterrichtssequenz zum Maschinellen Lernen als Aspekt von Data Science in der Sekundarstufe II.” INFOS, vol. P-288, Gesellschaft für Informatik, 2019, pp. 285–94.
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2019 | Conference Paper | LibreCat-ID: 15641
Schlichtig, Michael, et al. “Maschinelles Lernen im Unterricht mit Jupyter Notebook.” INFOS, vol. P-288, Gesellschaft für Informatik, 2019, p. 385.
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2019 | Conference Paper | LibreCat-ID: 15643
Opel, Simone Anna, et al. “Developing Teaching Materials on Artificial Intelligence by Using a Simulation Game (Work in Progress).” WiPSCE, ACM, 2019, p. 11:1-11:2.
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2019 | Conference Paper | LibreCat-ID: 14848
Schlichtig, Michael, et al. “Maschinelles Lernen im Unterricht mit Jupyter Notebook.” Informatik für alle, edited by Arno Pasternak, Gesellschaft für Informatik, 2019, p. 385.
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