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216 Publications
2023 | Conference Paper | LibreCat-ID: 35426 | 
C. Richter, J. F. Haltermann, M.-C. Jakobs, F. Pauck, S. Schott, and H. Wehrheim, “Are Neural Bug Detectors Comparable to Software Developers on Variable Misuse Bugs?,” 2023, doi: 10.1145/3551349.3561156.
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2023 | Conference Paper | LibreCat-ID: 36848
S. Schott and F. Pauck, “Benchmark Fuzzing for Android Taint Analyses,” 2023, doi: 10.1109/scam55253.2022.00007.
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2023 | Conference Paper | LibreCat-ID: 35427 |
F. Pauck, “Scaling Arbitrary Android App Analyses,” 2023, doi: 10.1145/3551349.3561339.
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2023 | Dissertation | LibreCat-ID: 47833
J. König, On the Membership and Correctness Problem for State Serializability and Value Opacity. 2023.
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2022 | Conference Paper | LibreCat-ID: 32590
C. Richter and H. Wehrheim, “Learning Realistic Mutations: Bug Creation for Neural Bug Detectors,” in 2022 IEEE Conference on Software Testing, Verification and Validation (ICST), 2022, pp. 162–173, doi: 10.1109/ICST53961.2022.00027.
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2022 | Conference Paper | LibreCat-ID: 32591
C. Richter and H. Wehrheim, “TSSB-3M: Mining single statement bugs at massive scale,” in 2022 IEEE/ACM 19th International Conference on Mining Software Repositories (MSR), 2022, pp. 418–422, doi: 10.1145/3524842.3528505.
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2022 | Conference Paper | LibreCat-ID: 45248
B. Dongol, G. Schellhorn, and H. Wehrheim, “Weak Progressive Forward Simulation Is Necessary and Sufficient for Strong Observational Refinement,” in 33rd International Conference on Concurrency Theory, CONCUR 2022, September 12-16, 2022, Warsaw, Poland, 2022, vol. 243, p. 31:1–31:23, doi: 10.4230/LIPIcs.CONCUR.2022.31.
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2021 | Conference Paper | LibreCat-ID: 28350
A. Sharma, C. Demir, A.-C. Ngonga Ngomo, and H. Wehrheim, “MLCHECK–Property-Driven Testing of Machine Learning Classifiers.”
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2021 | Journal Article | LibreCat-ID: 27045 |
L. Luo et al., “TaintBench: Automatic real-world malware benchmarking of Android taint analyses,” Empirical Software Engineering, 2021, doi: 10.1007/s10664-021-10013-5.
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