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?,”10.1145/3551349.3561156__2023, doi:10.1145/3551349.3561156 .

F. Pauck, “Scaling Arbitrary Android App Analyses,”10.1145/3551349.3561339__2023, doi:10.1145/3551349.3561339 .

Q. A. Ahmed, M. Awais, and M. Platzner, “MAAS: Hiding Trojans in Approximate Circuits,” presented at the The 24th International Symposium on Quality Electronic Design (ISQED’23), San Fransico CA 94023-0607, USA, 2023.

F. S. Bäumer, W.-F. Chen, M. Geierhos, J. Kersting, and H. Wachsmuth, “Dialogue-based Requirement Compensation and Style-adjusted Data-to-text Generation,” in On-The-Fly Computing -- Individualized IT-services in dynamic markets, vol. 412, C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, Eds. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 65–84.

J. M. Hanselle et al., “Configuration and Evaluation,” in On-The-Fly Computing -- Individualized IT-services in dynamic markets, vol. 412, C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, Eds. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 85–104.

H. Wehrheim, E. Hüllermeier, S. Becker, M. Becker, C. Richter, and A. Sharma, “Composition Analysis in Unknown Contexts,” in On-The-Fly Computing -- Individualized IT-services in dynamic markets, vol. 412, C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, Eds. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 105–123.

J. Kersting and M. Geierhos, “Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews,” in Data Management Technologies and Applications, vol. 1860, A. Cuzzocrea, O. Gusikhin, S. Hammoudi, and C. Quix, Eds. Cham: Springer Nature Switzerland, 2023, pp. 45–65.

J. Kersting, F. Maoro, and M. Geierhos, “Towards comparable ratings: Exploring bias in German physician reviews,”10.1016/j.datak.2023.102235__Data &; Knowledge Engineering, vol. 148, Art. no. 102235, 2023, doi:10.1016/j.datak.2023.102235 .

H. Wehrheim, M. Platzner, E. Bodden, P. Schubert, F. Pauck, and M.-C. Jakobs, “Verifying Software and Reconfigurable Hardware Services,” in On-The-Fly Computing -- Individualized IT-services in dynamic markets, vol. 412, C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, Eds. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 125–144.

C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, On-The-Fly Computing -- Individualized IT-services in dynamic markets, vol. 412. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023.

L. M. Witschen, T. Wiersema, L. D. Reuter, and M. Platzner, “Search Space Characterization for Approximate Logic Synthesis ,” presented at the 2022 59th ACM/IEEE Design Automation Conference (DAC), San Francisco, USA.

L. M. Witschen, T. Wiersema, M. Artmann, and M. Platzner, “MUSCAT: MUS-based Circuit Approximation Technique,” presented at the Design, Automation and Test in Europe (DATE), Online.

E. Schede et al., “A Survey of Methods for Automated Algorithm Configuration,” arXiv:2202.01651. 2022.

A. Sharma, V. Melnikov, E. Hüllermeier, and H. Wehrheim, “Property-Driven Testing of Black-Box Functions,” in Proceedings of the 10th IEEE/ACM International Conference on Formal Methods in Software Engineering (FormaliSE), 2022, pp. 113–123.

L. Fehring, J. M. Hanselle, and A. Tornede, “HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection,” presented at the Workshop on Meta-Learning (MetaLearn 2022) @ NeurIPS 2022, Baltimore, 2022.

P. Schubert et al., “Static data-flow analysis for software product lines in C,”10.1007/s10515-022-00333-1__Automated Software Engineering, vol. 29, no. 1, Art. no. 35, 2022, doi:10.1007/s10515-022-00333-1 .

C. Richter and H. Wehrheim, “Learning Realistic Mutations: Bug Creation for Neural Bug Detectors,”10.1109/ICST53961.2022.00027__in 2022 IEEE Conference on Software Testing, Verification and Validation (ICST), 2022, pp. 162–173, doi:10.1109/ICST53961.2022.00027 .

C. Richter and H. Wehrheim, “TSSB-3M: Mining single statement bugs at massive scale,”10.1145/3524842.3528505__in 2022 IEEE/ACM 19th International Conference on Mining Software Repositories (MSR), 2022, pp. 418–422, doi:10.1145/3524842.3528505 .

K. Dreßler, M. Sherif, and A.-C. Ngonga Ngomo, “ADAGIO - Automated Data Augmentation of Knowledge Graphs Using Multi-expression Learning,”10.1145/3511095.3531287__presented at the HT ’22: 33rd ACM Conference on Hypertext and Social Media, Barcelona (Spain), 2022, doi:10.1145/3511095.3531287 .

W.-F. Chen, M.-H. Chen, G. Mudgal, and H. Wachsmuth, “Analyzing Culture-Specific Argument Structures in Learner Essays,” in Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022), 2022, pp. 51–61.