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216 Publications
2023 | Conference Paper | LibreCat-ID: 35426 | 
Richter, C., Haltermann, J. F., Jakobs, M.-C., Pauck, F., Schott, S., & Wehrheim, H. (2023). Are Neural Bug Detectors Comparable to Software Developers on Variable Misuse Bugs? 37th IEEE/ACM International Conference on Automated Software Engineering. https://doi.org/10.1145/3551349.3561156
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2023 | Conference Paper | LibreCat-ID: 36848
Schott, S., & Pauck, F. (2023). Benchmark Fuzzing for Android Taint Analyses. 2022 IEEE 22nd International Working Conference on Source Code Analysis and Manipulation (SCAM). https://doi.org/10.1109/scam55253.2022.00007
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2023 | Conference Paper | LibreCat-ID: 35427 |
Pauck, F. (2023). Scaling Arbitrary Android App Analyses. 37th IEEE/ACM International Conference on Automated Software Engineering. https://doi.org/10.1145/3551349.3561339
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2023 | Dissertation | LibreCat-ID: 43108
Pauck, F. (2023). Cooperative Android App Analysis. Paderborn University. https://doi.org/10.17619/UNIPB/1-1698
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2023 | Dissertation | LibreCat-ID: 47833
König, J. (2023). On the Membership and Correctness Problem for State Serializability and Value Opacity.
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2022 | Conference Paper | LibreCat-ID: 32590
Richter, C., & Wehrheim, H. (2022). Learning Realistic Mutations: Bug Creation for Neural Bug Detectors. 2022 IEEE Conference on Software Testing, Verification and Validation (ICST), 162–173. https://doi.org/10.1109/ICST53961.2022.00027
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2022 | Conference Paper | LibreCat-ID: 32591
Richter, C., & Wehrheim, H. (2022). TSSB-3M: Mining single statement bugs at massive scale. 2022 IEEE/ACM 19th International Conference on Mining Software Repositories (MSR), 418–422. https://doi.org/10.1145/3524842.3528505
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2022 | Conference Paper | LibreCat-ID: 45248
Dongol, B., Schellhorn, G., & Wehrheim, H. (2022). Weak Progressive Forward Simulation Is Necessary and Sufficient for Strong Observational Refinement. In B. Klin, S. Lasota, & A. Muscholl (Eds.), 33rd International Conference on Concurrency Theory, CONCUR 2022, September 12-16, 2022, Warsaw, Poland (Vol. 243, p. 31:1–31:23). Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.CONCUR.2022.31
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2021 | Conference Paper | LibreCat-ID: 28350
Sharma, A., Demir, C., Ngonga Ngomo, A.-C., & Wehrheim, H. (n.d.). MLCHECK–Property-Driven Testing of Machine Learning Classifiers. Proceedings of the 20th IEEE International Conference on Machine Learning and Applications (ICMLA).
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2021 | Journal Article | LibreCat-ID: 27045 |
Luo, L., Pauck, F., Piskachev, G., Benz, M., Pashchenko, I., Mory, M., Bodden, E., Hermann, B., & Massacci, F. (2021). TaintBench: Automatic real-world malware benchmarking of Android taint analyses. Empirical Software Engineering. https://doi.org/10.1007/s10664-021-10013-5
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