Publications
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Book ChaptersSemi-competitive Differential Game Logic
 Butte, J.; Platzer, A.
 2026. Automated Reasoning with Analytic Tableaux and Related Methods – 34th International Conference, TABLEAUX 2025, Reykjavik, Iceland, September 27–29, 2025, Proceedings. Ed.: G. Pozzato, 278–295, Springer Nature Switzerland. doi:10.1007/978-3-032-06085-3_15Living with Uncertainty in Model-Based Development
 Bernardi, S.; Famelis, M.; Jézéquel, J.-M.; Mirandola, R.; Palacin, D. P.; Polack, F. A. C.; Trubiani, C.
 2021. Composing Model-Based Analysis Tools. Ed.: R. Heinrich, 159–185, Springer International Publishing. doi:10.1007/978-3-030-81915-6_8Engineering of Trust Analysis-Driven Digital Twins for a Medical Device
 Bersani, M. M.; Braghin, C.; Gargantini, A.; Mirandola, R.; Riccobene, E.; Scandurra, P.
 2023. Software Architecture. ECSA 2022 Tracks and Workshops – Prague, Czech Republic, September 19–23, 2022, Revised Selected Papers. Ed.: T. Batista, 467–482, Springer International Publishing. doi:10.1007/978-3-031-36889-9_31Architecting Explainable Service Robots
 Bersani, M. M.; Camilli, M.; Lestingi, L.; Mirandola, R.; Rossi, M.; Scandurra, P.
 2023. Software Architecture – 17th European Conference, ECSA 2023, Istanbul, Turkey, September 18–22, 2023, Proceedings. Ed.: B. Tekinerdogan, 153–169, Springer Nature Switzerland. doi:10.1007/978-3-031-42592-9_11Foundations
 Talcott, C.; Ananieva, S.; Bae, K.; Combemale, B.; Heinrich, R.; Hills, M.; Khakpour, N.; Reussner, R.; Rumpe, B.; Scandurra, P.; Vangheluwe, H.; Durán, F.; Zschaler, S.
 2021. Composing Model-Based Analysis Tools. Ed.: R. Heinrich, 9–37, Springer International Publishing. doi:10.1007/978-3-030-81915-6_2Scalable Text Index Construction
 Bingmann, T.; Dinklage, P.; Fischer, J.; Kurpicz, F.; Ohlebusch, E.; Sanders, P.
 2022. Algorithms for Big Data. Hrsg.: H. Bast, 252–284, Springer Nature Switzerland. doi:10.1007/978-3-031-21534-6_14Recent Advances in Scalable Network Generation1
 Penschuck, M.; Brandes, U.; Hamann, M.; Lamm, S.; Meyer, U.; Safro, I.; Sanders, P.; Schulz, C.
 2022. Massive Graph Analytics. Ed.: D.A. Bader, 333–376, Chapman and Hall/CRC. doi:10.1201/9781003033707-16Multi-Objective Shortest Paths
 Erb, S.; Kobitzsch, M.; Mandow, L.; Sanders, P.
 2022. Massive Graph Analytics. Ed.: D.A. Bader, 35–59, Chapman and Hall/CRC. doi:10.1201/9781003033707-3Standardizing Your Training Process for Human Activity Recognition Models – A Comprehensive Review in the Tunable Factors
 Huang, Y.; Zhao, H.; Zhou, Y.; Riedel, T.; Beigl, M.
 2024. Mobile and Ubiquitous Systems: Computing, Networking and Services – 20th EAI International Conference, MobiQuitous 2023, Melbourne, VIC, Australia, November 14–17, 2023, Proceedings, Part II. Ed.: A. Zaslavsky, 15 – 27, Springer Nature Switzerland. doi:10.1007/978-3-031-63992-0_2Global Concept Explanations for Graphs by Contrastive Learning
 Teufel, J.; Friederich, P.
 2024. Explainable Artificial Intelligence – Second World Conference, xAI 2024, Valletta, Malta, July 17–19, 2024, Proceedings, Part I. Ed.: L. Longo, 184–208, Springer Nature Switzerland. doi:10.1007/978-3-031-63787-2_10An Efficient Branch-and-Bound Solver for Hitting Set
 Bläsius, T.; Friedrich, T.; Stangl, D.; Weyand, C.
 2022. 2022 Proceedings of the Symposium on Algorithm Engineering and Experiments (ALENEX). Ed.: C. Phillips, 209–220, Society for Industrial and Applied Mathematics (SIAM). doi:10.1137/1.9781611977042.17Distributed Deep Multilevel Graph Partitioning
 Sanders, P.; Seemaier, D.
 2023. Euro-Par 2023: Parallel Processing – 29th International Conference on Parallel and Distributed Computing, Limassol, Cyprus, August 28 – September 1, 2023, Proceedings. Ed.: J. Cano, 443 – 457, Springer Nature Switzerland. doi:10.1007/978-3-031-39698-4_30Scalable discrete algorithms for big data applications
 Hespe, D.; Hübner, L.; Hübschle-Schneider, L.; Sanders, P.; Schreiber, D.
 2023. High Performance Computing in Science and Engineering ’21 – Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2021. Ed.: W. Nagel, 439–449, Springer International Publishing. doi:10.1007/978-3-031-17937-2_27Re-CorC-ing KeY: Correct-by-Construction Software Development Based on KeY
 Bordis, T.; Cleophas, L.; Kittelmann, A.; Runge, T.; Schaefer, I.; Watson, B. W.
 2022. The Logic of Software. A Tasting Menu of Formal Methods – Essays Dedicated to Reiner Hähnle on the Occasion of His 60th Birthday. Ed.: W. Ahrendt, 80–104, Springer International Publishing. doi:10.1007/978-3-031-08166-8_5Challenges in the Evolution of Palladio—Refactoring Design Smells in a Historically-Grown Approach to Software Architecture Analysis
 Heinrich, R.; Henss, J.; Koch, S.; Reussner, R.
 2021. Composing Model-Based Analysis Tools. Ed.: R. Heinrich, 235–257, Springer International Publishing. doi:10.1007/978-3-030-81915-6_11
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BooksThe Logic of Software. A Tasting Menu of Formal Methods – Essays Dedicated to Reiner Hähnle on the Occasion of His 60th Birthday
 Ahrendt, W.; Beckert, B.; Bubel, R.; Johnsen, E. B. (Eds.)
 2022. Springer International Publishing. doi:10.1007/978-3-031-08166-8Software Architecture – 15th European Conference, ECSA 2021 Tracks and Workshops; Växjö, Sweden, September 13–17, 2021, Revised Selected Papers
 Scandurra, P.; Galster, M.; Mirandola, R.; Weyns, D. (Eds.)
 2022. Springer International Publishing. doi:10.1007/978-3-031-15116-3Composing Model-Based Analysis Tools
 Heinrich, R.; Durán, F.; Talcott, C.; Zschaler, S.; Reussner, R. (Eds.)
 2021. Springer International Publishing. doi:10.1007/978-3-030-81915-6
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PhD ThesesTowards Secure Computation on Accelerated Cloud Systems. PhD dissertation
 Nassar, H.
 2025, January 13. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000177789Lightweight Neural Networks for Human Activity Recognition. PhD dissertation
 Zhou, Y.
 2024, December 19. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000177498Advancing Model Explainability in Pervasive Computing. PhD dissertation
 Huang, Y.
 2024, December 17. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000177453Fast and Space-Efficient Perfect Hashing. PhD dissertation
 Lehmann, H.-P.
 2024, November 20. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000176432Algorithm-Driven Design and Optimization of Printed Analog Neuromorphic Circuits. PhD dissertation
 Zhao, H.
 2024, November 5. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000175711Scalable and Efficient Uncertainty Estimation and Reduction in Edge-AI Accelerators. PhD dissertation
 Ahmed, S. T.
 2024, November 5. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000173878Algorithms for Triangles, Cones & Peaks. PhD dissertation
 Funke, D.
 2023, December 19. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000165647Scalable SAT Solving and its Application. PhD dissertation
 Schreiber, D. P.
 2023, December 5. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000165224Continually learning new languages. PhD dissertation
 Pham, N. Q.
 2023, December 1. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000164125Enabling Scalability: Graph Hierarchies and Fault Tolerance. PhD dissertation
 Hespe, L. D.
 2023, August 14. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000161317Scalable High-Quality Graph and Hypergraph Partitioning. PhD dissertation
 Heuer, T.
 2022, November 24. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000152872Architectural Data Flow Analysis for Detecting Violations of Confidentiality Requirements. PhD dissertation
 Seifermann, S.
 2022. doi:10.5445/KSP/1000151563Scalable Graph Algorithms using Practically Efficient Data Reductions. PhD dissertation
 Lamm, S. E.
 2022, August 12. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000149655Scalable Hash Tables. PhD dissertation
 Maier, T.
 2022, July 21. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000148820Architectural Data Flow Analysis for Detecting Violations of Confidentiality Requirements. PhD dissertation
 Seifermann, S.
 2022, July 20. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000148748Robust Scalable Sorting. PhD dissertation
 Axtmann, M.
 2021, August 30. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000136621High-Quality Hypergraph Partitioning. PhD dissertation
 Schlag, S.
 2020, February 26. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000105953
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Master's ThesesDistributed Asynchronous Event Relaying for P2P Matrix. master’s thesis
 Schichtholz, B. D.
 2024, July 15. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000174132Learning to Nest Irregular Two-Dimensional Parts Using Deep Reinforcement Learning. master’s thesis
 Ikels, J.
 2023, July 27. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000161043
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Journal ArticlesMitigating Molecular Aggregation in Drug Discovery With Predictive Insights From Explainable AI
 Sturm, H.; Teufel, J.; Isfeld, K. A.; Friederich, P.; Davis, R. L.
 2025. Angewandte Chemie, 137 (29), e202503259. doi:10.1002/ange.202503259Customization Meets 2-Hop Labeling: Efficient Routing in Road Networks
 Farhan, M.; Koehler, H.; Wang, Q.; Wang, J.; Laupichler, M.; Sanders, P.
 2025. Proceedings of the VLDB Endowment, 18 (10), 3326–3338. doi:10.14778/3748191.3748198How Toxic Can You Get? Search-based Toxicity Testing for Large Language Models
 Corbo, S.; Bancale, L.; Gennaro, V. D.; Lestingi, L.; Scotti, V.; Camilli, M.
 2025. IEEE Transactions on Software Engineering, 1–16. doi:10.1109/TSE.2025.3607625Modeling the composition of analysis components and automatic constraint checking for semantic soundness
 Taghavi, B.; Weber, S.; Marin, A.; Rumpe, B.; Stüber, S.; Henss, J.; Weber, T.; Heinrich, R.
 2025. The journal of systems and software, 231. doi:10.1016/j.jss.2025.112637DPReF: Decentralized Key Generation Using Physical-Related Functions
 Alsharkawy, M.; Nassar, H.; González-Gómez, J.; Xiao, X.; Abboud, O.; Henkel, J.
 2025. ACM Transactions on Embedded Computing Systems, 24 (5s), 1–24. doi:10.1145/3762187Timekeepers: ML-Driven SDF Analysis for Power-Wasters Detection in FPGAs
 Fathy, M.; Nassar, H.; Abd El Ghany, M.; Henkel, J.
 2025. ACM Transactions on Embedded Computing Systems, 24 (5s), 1–26. doi:10.1145/3761809Partial-Label Learning with a Reject Option
 Fuchs, T.; Kalinke, F.; Böhm, K.
 2025. Transactions on Machine Learning ResearchMany-Objective Self-adaptation under Model Uncertainty
 Camilli, M.; Mirandola, R.; Scandurra, P.
 2025. ACM Transactions on Autonomous and Adaptive Systems. doi:10.1145/3719349Pandora: a tool to estimate dimensionality reduction stability of genotype data
 Haag, J.; Jordan, A. I.; Stamatakis, A.
 2024. (A. Bateman, Ed.) Bioinformatics Advances, 5 (1). doi:10.1093/bioadv/vbaf040Read Length Dominates Phylogenetic Placement Accuracy of Ancient DNA Reads
 Bettisworth, B.; Psonis, N.; Poulakakis, N.; Pavlidis, P.; Stamatakis, A.
 2025. Molecular Biology and Evolution, 42 (2). doi:10.1093/molbev/msaf006View-Dependent Visibility Optimization for Monte Carlo Volume Visualization
 Lerzer, N.; Dachsbacher, C.
 2025. Computer graphics forum, 44 (2). doi:10.1111/cgf.70064Building Blocks for Robust and Effective Semi-Supervised Real-World Object Detection
 Kassem Sbeyti, M.; Klein, N.; Nowzad, A.; Sivrikaya, F.; Albayrak, S.
 2025. Transactions on Machine Learning Research, 3, 1–26MicroNAS for memory and latency constrained hardware aware neural architecture search in time series classification on microcontrollers
 King, T.; Zhou, Y.; Röddiger, T.; Beigl, M.
 2025. Scientific Reports, 15 (1), Art.-Nr.: 7575. doi:10.1038/s41598-025-90764-zGraph attention-based neural collaborative filtering for item-specific recommendation system using knowledge graph
 Elahi, E.; Anwar, S.; Al-kfairy, M.; Rodrigues, J. J. P. C.; Ngueilbaye, A.; Halim, Z.; Waqas, M.
 2025. Expert Systems with Applications, 266, Art.-Nr.: 126133. doi:10.1016/j.eswa.2024.126133Neural Evolutionary Architecture Search for Compact Printed Analog Neuromorphic Circuits
 Zhao, H.; Pal, P.; Hefenbrock, M.; Wang, Y.; Beigl, M.; Tahoori, M. B.
 2025. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 1–14. doi:10.1109/TCAD.2024.3524357AleRax: a tool for gene and species tree co-estimation and reconciliation under a probabilistic model of gene duplication, transfer, and loss
 Morel, B.; Williams, T. A.; Stamatakis, A.; Szöllősi, G. J.
 2024. Bioinformatics, 40 (4), Art.-Nr. btae162. doi:10.1093/bioinformatics/btae162Simulations of Sequence Evolution: How (Un)realistic They Are and Why
 Trost, J.; Haag, J.; Höhler, D.; Jacob, L.; Stamatakis, A.; Boussau, B.
 2024. Molecular Biology and Evolution, 41 (1), Art.-Nr. msad277. doi:10.1093/molbev/msad277Turbo-FHE: Accelerating Fully Homomorphic Encryption with FPGA and HBM Integration
 Nassar, H.; Bauer, L.; Henkel, J.
 2025. IEEE Design & Test, 42 (3), 86–93. doi:10.1109/MDAT.2025.3527368An Architectural Viewpoint for Benefit-Cost-Risk-Aware Decision-Making in Self-Adaptive Systems
 Weyns, D.; Hezavehi, S. M.; Avgeriou, P.; Calinescu, R.; Mirandola, R.; Perez-Palacin, D.
 2025. ACM Transactions on Autonomous and Adaptive Systems, 20 (1), 1–65. doi:10.1145/3705612Sustainable Software Engineering: Concepts, Challenges, and Vision
 König, C.; Lang, D. J.; Schaefer, I.
 2025. ACM Transactions on Software Engineering and Methodology, 34 (5), 1–28. doi:10.1145/3709352Complexity of avian evolution revealed by family-level genomes
 Stiller, J.; Feng, S.; Chowdhury, A.-A.; Rivas-González, I.; Duchêne, D. A.; Fang, Q.; Deng, Y.; Kozlov, A.; Stamatakis, A.; Claramunt, S.; Nguyen, J. M. T.; Ho, S. Y. W.; Faircloth, B. C.; Haag, J.; Houde, P.; Cracraft, J.; Balaban, M.; Mai, U.; Chen, G.; Gao, R.; Zhou, C.; Xie, Y.; Huang, Z.; Cao, Z.; Yan, Z.; Ogilvie, H. A.; Nakhleh, L.; Lindow, B.; Morel, B.; Fjeldså, J.; Hosner, P. A.; da Fonseca, R. R.; Petersen, B.; Tobias, J. A.; Székely, T.; Kennedy, J. D.; Reeve, A. H.; Liker, A.; Stervander, M.; Antunes, A.; Tietze, D. T.; Bertelsen, M. F.; Lei, F.; Rahbek, C.; Graves, G. R.; Schierup, M. H.; Warnow, T.; Braun, E. L.; Gilbert, M. T. P.; Jarvis, E. D.; Mirarab, S.; Zhang, G.
 2024. Nature, 629 (8013), 851–860. doi:10.1038/s41586-024-07323-1Necessary reforms in the Greek academic system
 Stamatakis, A.; Tsakalides, P.; Tamiolaki, M.
 2024. Frontiers in Political Science, 6, Art.-Nr.: 1471002. doi:10.3389/fpos.2024.1471002The Deep Promotion Time Cure Model
 Medina-Olivares, V.; Lessmann, S.; Klein, N.
 2024. IEEE Transactions on Neural Networks and Learning Systems, 35 (12), 18848–18858. doi:10.1109/TNNLS.2024.3398559MallobSat: Scalable SAT Solving by Clause Sharing
 Schreiber, D.; Sanders, P.
 2024. Journal of Artificial Intelligence Research, 80, 1437–1495. doi:10.1613/jair.1.15827Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy
 Marinov, Z.; Jäger, P. F.; Egger, J.; Kleesiek, J.; Stiefelhagen, R.
 2024. IEEE Transactions on Pattern Analysis and Machine Intelligence, 46 (12), 10998–11018. doi:10.1109/TPAMI.2024.3452629Results from the autoPET challenge on fully automated lesion segmentation in oncologic PET/CT imaging
 Gatidis, S.; Früh, M.; Fabritius, M. P.; Gu, S.; Nikolaou, K.; Fougère, C. L.; Ye, J.; He, J.; Peng, Y.; Bi, L.; Ma, J.; Wang, B.; Zhang, J.; Huang, Y.; Heiliger, L.; Marinov, Z.; Stiefelhagen, R.; Egger, J.; Kleesiek, J.; Sibille, L.; Xiang, L.; Bendazzoli, S.; Astaraki, M.; Ingrisch, M.; Cyran, C. C.; Küstner, T.
 2024. Nature Machine Intelligence. doi:10.1038/s42256-024-00912-9Retriever: A View-Based Approach to Reverse Engineering Software Architecture Models
 Kirschner, Y. R.; Gstür, M.; Sağlam, T.; Weber, S.; Koziolek, A.
 2025. Journal of Systems and Software, 220, 112277. doi:10.1016/j.jss.2024.112277Meta-Scanner: Detecting Fault Attacks via Scanning FPGA Designs Metadata
 Nassar, H.; Krautter, J.; Bauer, L.; Gnad, D.; Tahoori, M.; Henkel, J.
 2024. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 43 (11), 3443–3454. doi:10.1109/TCAD.2024.3443769Predicting Phylogenetic Bootstrap Values via Machine Learning
 Wiegert, J.; Höhler, D.; Haag, J.; Stamatakis, A.
 2024. (A. Rzhetsky, Ed.) Molecular Biology and Evolution, 41 (10). doi:10.1093/molbev/msae215Towards Precision-Aware Safe Neural-Controlled Cyber-Physical Systems
 Thevendhriya, H.; Ghosh, S.; Lohar, D.
 2024. IEEE embedded systems letters, 16 (4), 397–400. doi:10.1109/LES.2024.3444004Discrete Fréchet Distance under Translation – Conditional Hardness and an Improved Algorithm
 Bringmann, K.; Künnemann, M.; Nusser, A.
 2021. ACM Transactions on Algorithms, 17 (3), 25. doi:10.1145/3460656Walking the dog fast in practice: Algorithm engineering of the Fréchet distance
 Bringmann, K.; Künnemann, M.; Nusser, A.
 2021. Journal of computational geometry, 12 (1), 70–108. doi:10.20382/jocg.v12i1a4Machine-Learning-based Side-Channel Attack Detection for FPGA SoCs
 Bauer, L.; Nassar, H.; Khan, N.; Becker, J.; Henkel, J.
 2024. IEEE Transactions on Circuits and Systems for Artificial Intelligence, 1 (2), 178–190. doi:10.1109/TCASAI.2024.3483118A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models
 Arenz, O.; Dahlinger, P.; Ye, Z.; Volpp, M.; Neumann, G.
 2023. Transactions on machine learning research, 2023Robust Black-Box Optimization for Stochastic Search and Episodic Reinforcement Learning
 Hüttenrauch, M.; Neumann, G.
 2024. Journal of machine learning research, 25, 153:1–153:44TransKD: Transformer Knowledge Distillation for Efficient Semantic Segmentation
 Liu, R.; Yang, K.; Roitberg, A.; Zhang, J.; Peng, K.; Liu, H.; Wang, Y.; Stiefelhagen, R.
 2024. IEEE Transactions on Intelligent Transportation Systems, 25 (12), 20933–20949. doi:10.1109/TITS.2024.3455416Special issue on Architecting Dependable Multi-paradigm Computing Systems
 Scandurra, P.; Camilli, M.; Mirandola, R.; Kang, S.
 2023. Computing, 105 (9), Article no: 1847. doi:10.1007/s00607-023-01202-9Architecting for a Sustainable Digital Society
 Biffl, S.; Navarro, E.; Mirandola, R.; Weyns, D.
 2023. Journal of Systems and Software, 200, Article no: 111668. doi:10.1016/j.jss.2023.111668A conceptual framework for resilience: fundamental definitions, strategies and metrics
 Andersson, J.; Grassi, V.; Mirandola, R.; Perez-Palacin, D.
 2021. Computing, 103 (4), 559–588. doi:10.1007/s00607-020-00874-xUncertainty in Self-adaptive Systems: A Research Community Perspective
 Hezavehi, S. M.; Weyns, D.; Avgeriou, P.; Calinescu, R.; Mirandola, R.; Perez-Palacin, D.
 2020. ACM Transactions on Autonomous and Adaptive Systems, 15 (4), 36 S. doi:10.1145/3487921Event‐sourced, observable software architectures: An experience report
 Alongi, F.; Bersani, M. M.; Ghielmetti, N.; Mirandola, R.; Tamburri, D. A.
 2022. Software: Practice and Experience, 52 (10), 2127–2151. doi:10.1002/spe.3116Quantitative verification with adaptive uncertainty reduction
 Alasmari, N.; Calinescu, R.; Paterson, C.; Mirandola, R.
 2022. Journal of Systems and Software, 188, Article no: 111275. doi:10.1016/j.jss.2022.111275Enforcing Resilience in Cyber-physical Systems via Equilibrium Verification at Runtime
 Camilli, M.; Mirandola, R.; Scandurra, P.
 2023. ACM Transactions on Autonomous and Adaptive Systems, 18 (3), 32 S. doi:10.1145/3584364Optimizing Path Termination for Radiance Caching Through Explicit Variance Trading
 Kandlbinder, L.; Dittebrandt, A.; Schipek, A.; Dachsbacher, C.
 2024. Proceedings of the ACM on Computer Graphics and Interactive Techniques, 7 (3), Art.-Nr.: 33. doi:10.1145/3675381Metagenomic Analysis Using Phylogenetic Placement—A Review of the First Decade
 Czech, L.; Stamatakis, A.; Dunthorn, M.; Barbera, P.
 2022. Frontiers in Bioinformatics, 2, Art.-Nr.: 871393. doi:10.3389/fbinf.2022.871393Switched Systems as Hybrid Programs
 Tan, Y. K.; Platzer, A.
 2021. IFAC-PapersOnLine, 54 (5), 247–252. doi:10.1016/j.ifacol.2021.08.506Structured Proofs for Adversarial Cyber-Physical Systems
 Bohrer, R.; Platzer, A.
 2021. ACM Transactions on Embedded Computing Systems, 20 (5s), 1–26. doi:10.1145/3477024Pegasus: sound continuous invariant generation
 Sogokon, A.; Mitsch, S.; Tan, Y. K.; Cordwell, K.; Platzer, A.
 2021. Formal Methods in System Design, 58 (1-2), 5–41. doi:10.1007/s10703-020-00355-zAn axiomatic approach to existence and liveness for differential equations
 Tan, Y. K.; Platzer, A.
 2021. Formal Aspects of Computing, 33 (4-5), 461–518. doi:10.1007/s00165-020-00525-0ReSTIR Subsurface Scattering for Real-Time Path Tracing
 Werner, M.; Schüßler, V.; Dachsbacher, C.
 2024. Proceedings of the ACM on Computer Graphics and Interactive Techniques, 7 (3), Art.-Nr.: 36. doi:10.1145/3675372Hybrid dynamical systems logic and its refinements
 Platzer, A.
 2025. Science of Computer Programming, 239, Art.-Nr.: 103179. doi:10.1016/j.scico.2024.103179Phylogenetic reconciliation: making the most of genomes to understand microbial ecology and evolution
 Williams, T. A.; Davin, A. A.; Szánthó, L. L.; Stamatakis, A.; Wahl, N. A.; Woodcroft, B. J.; Soo, R. M.; Eme, L.; Sheridan, P. O.; Gubry-Rangin, C.; Spang, A.; Hugenholtz, P.; Szöllősi, G. J.
 2024. The ISME Journal, 18 (1), Art.-Nr.: wrae129. doi:10.1093/ismejo/wrae129Formally Verified Next-generation Airborne Collision Avoidance Games in ACAS X
 Cleaveland, R.; Mitsch, S.; Platzer, A.
 2023. ACM Transactions on Embedded Computing Systems, 22, Article no: 10. doi:10.1145/3544970Towards a Research Agenda for Understanding and Managing Uncertainty in Self-Adaptive Systems
 Weyns, D.; Calinescu, R.; Mirandola, R.; Tei, K.; Acosta, M.; Bencomo, N.; Bennaceur, A.; Boltz, N.; Bures, T.; Camara, J.; Diaconescu, A.; Engels, G.; Gerasimou, S.; Gerostathopoulos, I.; Getir Yaman, S.; Grassi, V.; Hahner, S.; Letier, E.; Litoiu, M.; Marsso, L.; Musil, A.; Musil, J.; Nunes Rodrigues, G.; Perez-Palacin, D.; Quin, F.; Scandurra, P.; Vallecillo, A.; Zisman, A.
 2023. ACM SIGSOFT Software Engineering Notes, 48 (4), 20–36. doi:10.1145/3617946.3617951Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentation
 Zhang, J.; Yang, K.; Shi, H.; Reiß, S.; Peng, K.; Ma, C.; Fu, H.; Torr, P. H. S.; Wang, K.; Stiefelhagen, R.
 2024. IEEE Transactions on Pattern Analysis and Machine Intelligence, 46 (12), 8549–8567. doi:10.1109/TPAMI.2024.3408642Bridge Sampling for Connections via Multiple Scattering Events
 Schüßler, V.; Hanika, J.; Dachsbacher, C.
 2024. Computer Graphics Forum, 43 (4), Art.-Nr.: e15160. doi:10.1111/cgf.15160From Concept to Reality: Leveraging Correctness-by-Construction for Better Algorithm Design
 Bordis, T.; Kodetzki, M.; Schaefer, I.
 2024. Computer, 57 (7), 113 – 119. doi:10.1109/MC.2024.3390948Combining simulation and experimental data via surrogate modelling of continuum dislocation dynamics simulations
 Katzer, B.; Betsche, D.; von Hoegen, F.; Jochum, B.; Böhm, K.; Schulz, K.
 2024. Modelling and Simulation in Materials Science and Engineering, 32 (5), Art.-Nr.: 055026. doi:10.1088/1361-651X/ad4b4cIdentification of the 18 World War II executed citizens of Adele, Rethymnon, Crete using an ancient DNA approach and low coverage genomes
 Psonis, N.; Vassou, D.; Nafplioti, A.; Tabakaki, E.; Pavlidis, P.; Stamatakis, A.; Poulakakis, N.
 2024. Forensic Science International: Genetics, 71, Art.-Nr.: 103060. doi:10.1016/j.fsigen.2024.103060A Fast GPU Schedule For À-Trous Wavelet-Based Denoisers
 Dolp, R.; Hanika, J.; Dachsbacher, C.
 2024. Proceedings of the ACM on Computer Graphics and Interactive Techniques, 7 (1), Art.-Nr: 15. doi:10.1145/3651299Cryptic diversity and phylogeographic patterns of Mediodactylus species in the Eastern Mediterranean region
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 2024. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 15556–15566, Institute of Electrical and Electronics Engineers (IEEE)Scalable SAT Solving on Demand (Abstract)
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 2024. HOPC’24: Proceedings of the 2024 ACM Workshop on Highlights of Parallel Computing. Ed.: L. Dhulipala, 11–12, Association for Computing Machinery (ACM). doi:10.1145/3670684.3673414Identification of Inconsistencies in Agile CPS Engineering with Formula Student
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 2024. IEEE International Conference on Software Architecture (ICSA 2024). doi:10.1109/ICSA-C63560.2024.00019Language-Independent Representations Improve Zero-Shot Summarization
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 2024. Software Architecture : 18th European Conference, ECSA 2024, Luxembourg City, Luxembourg, September 3–6, 2024 ; Proceedings. Ed.: M. Galster, 253–269, Springer. doi:10.1007/978-3-031-70797-1_17Sustainable Software Engineering: Visions and Perspectives beyond Energy Efficiency
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 2024. SemTech4STLD 2024 : Semantic Technologies and Deep Learning Models for Scientific, Technical and Legal Data 2024 : Second International Workshop on Semantic Technologies and Deep Learning Models for Scientific, Technical and Legal Data (SemTech4STLD) co-located with the Extended Semantic Web Conference 2024 (ESWC 2024). Ed.: R. Dessi, 76–82, CEUR-WSCost-Efficient Construction of Performance Models
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 2024. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) Hrsg.: Calzolari, Nicoletta; Kan, Min-Yen; Hoste, Veronique; Lenci, Alessandro; Sakti, Sakriani; Xue, Nianwen, 15171–15180Evaluating the IWSLT2023 Speech Translation Tasks: Human Annotations, Automatic Metrics, and Segmentation
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 2024. 32nd IEEE International Requirements Engineering Conference : 24-28 June 2024, Reykjavik, Iceland. Ed.: G. Liebel, 155–167, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/RE59067.2024.00024An Information-Flow Perspective on Algorithmic Fairness
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 2024. 2023 International Conference on Microelectronics (ICM), Abu Dhabi, 17th-20th December 2023, 184 – 189, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICM60448.2023.10378905Partial Proofs to Optimize Deductive Verification of Feature-Oriented Software Product Lines
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 2023. 2023 19th International Conference on Network and Service Management (CNSM), Niagara Falls, ON, Canada, 30 October 2023 - 02 November 2023, 1–9, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/cnsm59352.2023.10327800Engineering Self-adaptive Microservice Applications: An Experience Report
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 2023. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 – 26th International Conference, Vancouver, BC, Canada, October 8–12, 2023, Proceedings, Part III. Ed.: H. Greenspan, 637 – 647, Springer Nature Switzerland. doi:10.1007/978-3-031-43898-1_61Perturbation-based QE: An Explainable, Unsupervised Word-level Quality Estimation Method for Blackbox Machine Translation
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 2023. Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track. Ed.: M. Utiyama, 59–71, Association for Machine TranslationState Graph Based Explanation Approach for Black-Box Time Series Model
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 2023. Explainable Artificial Intelligence – First World Conference, xAI 2023, Lisbon, Portugal, July 26–28, 2023, Proceedings, Part III, Ed.: L. Longo, 153 – 164, Springer Nature Switzerland. doi:10.1007/978-3-031-44070-0_8Are Formal Contracts a useful Digital Twin of Software Systems?
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 2023. 18th ACM International Symposium on Nanoscale Architectures (NANOARCH 2023), Dresden, 18.12 - 20.12.2023), Association for Computing Machinery (ACM). doi:10.5445/IR/1000164433Quantifying the Intrinsic Usefulness of Attributional Explanations for Graph Neural Networks with Artificial Simulatability Studies
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 2021. Proceedings of the 2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2021), 1–8, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MFI52462.2021.9591186Trace Link Recovery for Software Architecture Documentation
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 2021. Software Architecture. Ed.: S. Biffl, 101–116, Springer-Verlag. doi:10.1007/978-3-030-86044-8_7Efficiently computing maximum flows in scale-free networks
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Reports/PreprintsImproving Counterfactual Truthfulness for Molecular Property Prediction through Uncertainty Quantification
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 2025. arxiv. doi:10.48550/arXiv.2510.18460Transforming Relational Model Queries to Triple Graph Grammars
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 2025. Institute of Electrical and Electronics Engineers (IEEE). doi:10.5445/IR/1000185585Bridging Explanations and Logics: Opportunities for Multimodal Language Models
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 2025. doi:10.5445/IR/1000184717Antifragility via Online Learning and Monitoring: an IoT Case Study
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 2025. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000182721Towards dynamic views on heterogeneous models – the NeoJoin view definition language
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 2025. arxiv. doi:10.48550/arXiv.2502.07661Software Architecture Meets LLMs: A Systematic Literature Review
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 2025. Institute of Electrical and Electronics Engineers (IEEE). doi:10.5445/IR/1000178348PAL - Parallel active learning for machine-learned potentials
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 2022. arxiv. doi:10.48550/arXiv.2203.07686Directed Acyclic Outerplanar Graphs Have Constant Stack Number
 Jungeblut, P.; Merker, L.; Ueckerdt, T.
 2022. arxiv. doi:10.48550/arXiv.2211.04732Weak Coloring Numbers of Intersection Graphs
 Dvořák, Z.; Pekárek, J.; Ueckerdt, T.; Yuditsky, Y.
 2021. arxiv. doi:10.48550/arXiv.2103.17094An Information-Flow Perspective on Algorithmic Fairness
 Teuber, S.; Beckert, B.
 2023. arxiv. doi:10.48550/arXiv.2312.10128A benchmark of categorical encoders for binary classification
 Matteucci, F.; Arzamasov, V.; Boehm, K.
 2023. arxivStructure and Independence in Hyperbolic Uniform Disk Graphs
 Bläsius, T.; von der Heydt, J.-P.; Kisfaludi-Bak, S.; Wilhelm, M.; van Wordragen, G.
 2024. arxiv. doi:10.48550/arXiv.2407.09362Robust Parameter Fitting to Realistic Network Models via Iterative Stochastic Approximation
 Bläsius, T.; Cohen, S.; Fischbeck, P.; Friedrich, T.; Krejca, M. S.
 2024. arxiv. doi:10.48550/arXiv.2402.05534On the Giant Component of Geometric Inhomogeneous Random Graphs
 Bläsius, T.; Friedrich, T.; Katzmann, M.; Ruff, J.; Zeif, Z.
 2023. arxiv. doi:10.48550/arXiv.2306.09506Maximal Cliques in Scale-Free Random Graphs
 Bläsius, T.; Katzmann, M.; Stegehuis, C.
 2023. arxiv. doi:10.48550/arXiv.2309.02990Partitioning the Bags of a Tree Decomposition Into Cliques
 Bläsius, T.; Katzmann, M.; Wilhelm, M.
 2023. arxiv. doi:10.48550/arXiv.2302.08870Recognizing Unit Disk Graphs in Hyperbolic Geometry is
 Bieker, N.; Bläsius, T.; Dohse, E.; Jungeblut, P.
 2023. arxiv. doi:10.48550/arXiv.2301.05550On the External Validity of Average-Case Analyses of Graph Algorithms
 Bläsius, T.; Fischbeck, P.
 2022. arxiv. doi:10.48550/arXiv.2205.15066Strongly Hyperbolic Unit Disk Graphs
 Bläsius, T.; Friedrich, T.; Katzmann, M.; Stephan, D.
 2021. arxiv. doi:10.48550/arXiv.2107.05518The Complexity of Dependency Detection and Discovery in Relational Databases
 Bläsius, T.; Friedrich, T.; Schirneck, M.
 2021. arxiv. doi:10.48550/arXiv.2103.13331An Efficient Branch-and-Bound Solver for Hitting Set
 Bläsius, T.; Friedrich, T.; Stangl, D.; Weyand, C.
 2021. arxiv. doi:10.48550/arXiv.2110.11697Accent conversion using discrete units with parallel data synthesized from controllable accented TTS
 Nguyen, T. N.; Pham, N. Q.; Waibel, A.
 2024. arxiv. doi:10.48550/arXiv.2410.03734The Minimax Rate of HSIC Estimation for Translation-Invariant Kernels
 Kalinke, F.; Szabó, Z.
 2024. arxiv. doi:10.48550/arXiv.2403.07735Nyström Kernel Stein Discrepancy
 Kalinke, F.; Szabó, Z.; Skriperumbudur, B. K.
 2024. arxiv. doi:10.48550/arXiv.2406.08401Specification Architectural Viewpoint for Benefit-Cost-Risk-Aware Decision-Making in Self-Adaptive Systems
 Weyns, D.; Avegriou, P.; Calinescu, R.; Hezavehi, S. M.; Mirandola, R.; Perez-Palacin, D.
 2022. arxiv. doi:10.48550/arXiv.2211.17218UBR
 Ringwald, T.; Stiefelhagen, R.
 2021. doi:10.48550/arXiv.2110.11739Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy
 Marinov, Z.; Jäger, P. F.; Egger, J.; Kleesiek, J.; Stiefelhagen, R.
 2023. doi:10.48550/arXiv.2311.13964Anatomy-guided Pathology Segmentation
 Jaus, A.; Seibold, C.; Reiß, S.; Heine, L.; Schily, A.; Kim, M.; Bahnsen, F. H.; Herrmann, K.; Stiefelhagen, R.; Kleesiek, J.
 2024. doi:10.48550/arXiv.2407.05844Retriever: A View-Based Approach to Reverse Engineering Software Architecture Models
 Kirschner, Y. R.; Gstür, M.; Sağlam, T.; Weber, S.; Koziolek, A.
 2024. Elsevier B.V. doi:10.2139/ssrn.4686183Unsupervised Personalized Deep Learning for Wearable Human Activity Recognition
 Huang, Y.; Zhou, Y.; Zhao, H.; Riedel, T.; Beigl, M.
 2024. SpringerC-BEV: Contrastive Bird’s Eye View Training for Cross-View Image Retrieval and 3-DoF Pose Estimation
 Fervers, F.; Bullinger, S.; Bodensteiner, C.; Arens, M.; Stiefelhagen, R.
 2023. arxivOpen Panoramic Segmentation
 Zheng, J.; Liu, R.; Chen, Y.; Peng, K.; Wu, C.; Yang, K.; Zhang, J.; Stiefelhagen, R.
 2024. arxiv. doi:10.48550/arXiv.2407.02685OAFuser: Towards Omni-Aperture Fusion for Light Field Semantic Segmentation
 Teng, F.; Zhang, J.; Peng, K.; Wang, Y.; Stiefelhagen, R.; Yang, K.
 2023. doi:10.48550/arXiv.2307.15588Neural Architecture Search for Highly Bespoke Robust Printed Neuromorphic Circuits
 Pal, P.; Zhao, H.; Gheshlaghi, T.; Hefenbrock, M.; Beigl, M.; Tahoori, M. B.
 2024. ACM Digital Library. doi:10.5445/IR/1000172645Graph Neural Networks and Spatial Information Learning for Post-Processing Ensemble Weather Forecasts
 Feik, M.; Lerch, S.; Stühmer, J.
 2024. doi:10.5445/IR/1000172395ExTea: An Evolutionary Algorithm-Based Approach for Enhancing Explainability in Time-Series Models
 Huang, Y.; Zhou, Y.; Zhao, H.; Fang, L.; Riedel, T.; Beigl, M.
 2024. Springer. doi:10.5445/IR/1000171098Swarm Reinforcement Learning For Adaptive Mesh Refinement
 Freymuth, N.; Dahlinger, P.; Würth, T.; Reisch, S.; Kärger, L.; Neumann, G.
 2023. arxiv. doi:10.48550/arXiv.2304.00818Mitigating Molecular Aggregation in Drug Discovery with Predictive Insights from Explainable AI
 Sturm, H.; Teufel, J.; Isfeld, K. A.; Friederich, P.; Davis, R. L.
 2023. arxiv. doi:10.48550/arXiv.2306.02206Formally Verifying an Efficient Sorter
 Beckert, B.; Sanders, P.; Ulbrich, M.; Witt, S.; Wiesler, J.
 2024. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000167846Adaptive Bernstein change detector for high-dimensional data streams
 Heyden, M.; Fouché, E.; Arzamasov, V.; Fenn, T.; Kalinke, F.; Böhm, K.
 2023. doi:10.48550/arXiv.2306.12974Hardware-Aware DNN Compression via Diverse Pruning and Mixed-Precision Quantization
 Balaskas, K.; Karatzas, A.; Sad, C.; Siozios, K.; Anagnostopoulos, I.; Zervakis, G.; Henkel, J.
 2023. doi:10.48550/arXiv.2312.15322Contract Machines: An Engineer-friendly Specification Language for Mode-Based Systems
 Bachmeier, J.; Weigl, A.; Beckert, B.
 2023. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000165642How to Raise a Robot - A Case for Neuro-Symbolic AI in Constrained Task Planning for Humanoid Assistive Robots
 Hemken, N.; Jacob, F.; Peller-Konrad, F.; Kartmann, R.; Asfour, T.; Hartenstein, H.
 2023. arxiv. doi:10.48550/arXiv.2312.08820Fast Compressed Segmentation Volumes for Scientific Visualization
 Piochowiak, M.; Dachsbacher, C.
 2023. doi:10.48550/arXiv.2308.16619Contract Automata: A Specification Language for Mode-Based Systems
 Weigl, A.; Bachmeier, J.; Beckert, B.; Ulbrich, M.
 2023. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000164563An Expert Survey on the Use of Informal Models in the Automotive Industry
 Fuchß, D.; Kühn, T.; Wortmann, A.; Pfeiffer, J.; Koziolek, A.
 2023. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000162389A Formalized Classification Schema for Model Consistency
 Kühn, T.; Fuchß, D.; Corallo, S.; König, L.; Burger, E.; Keim, J.; Mazkatli, M.; Sağlam, T.; Reiche, F.; Koziolek, A.; Reussner, R.
 2023. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000161127Deterministic Performance Guarantees for Bidirectional BFS on Real-World Networks
 Bläsius, T.; Wilhelm, M.
 2022. doi:10.48550/arXiv.2209.15300Dynamic Flows with Time-Dependent Capacities
 Bläsius, T.; Feilhauer, A.; Westenfelder, J.
 2023. doi:10.48550/arXiv.2302.07657Revisiting Click-Based Interactive Video Object Segmentation
 Vujasinovic, S.; Bullinger, S.; Becker, S.; Scherer-Negenborn, N.; Arens, M.; Stiefelhagen, R.
 2022. doi:10.48550/arXiv.2203.01784Multimodal Generation of Novel Action Appearances for Synthetic-to-Real Recognition of Activities of Daily Living
 Marinov, Z.; Schneider, D.; Roitberg, A.; Stiefelhagen, R.
 2022. doi:10.48550/arXiv.2208.01910Establishing a Benchmark Dataset for Traceability Link Recovery between Software Architecture Documentation and Models
 Fuchß, D.; Corallo, S.; Keim, J.; Speit, J.; Koziolek, A.
 2022. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000151962Continuous Integration of Architectural Performance Models with Parametric Dependencies – The CIPM Approach
 Mazkatli, M.; Monschein, D.; Armbruster, M.; Heinrich, R.; Koziolek, A.
 2022. doi:10.5445/IR/1000151086/v3NoRBERT: Transfer Learning for Requirements Classification
 Hey, T.; Keim, J.; Koziolek, A.; Tichy, W. F.
 2022. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000150464A Taxonomy for Design Decisions in Software Architecture Documentation
 Keim, J.; Hey, T.; Sauer, B.; Koziolek, A.
 2022. doi:10.5445/IR/1000149966LibriS2S: A German-English Speech-to-Speech Translation Corpus
 Jeuris, P.; Niehues, J.
 2022. European Language Resources Association (ELRA). doi:10.48550/arXiv.2204.10593An Improved Planar Graph Product Structure Theorem
 Ueckerdt, T.; Wood, D. R.; Yi, W.
 2021. doi:10.48550/arXiv.2108.00198A Sublinear Bound on the Page Number of Upward Planar Graphs
 Jungeblut, P.; Merker, L.; Ueckerdt, T.
 2022. doi:10.48550/arXiv.2107.05227Supplementary Material for the Evaluation of the Publication – A Layered Reference Architecture for Model-based Quality Analysis
 Koch, S.; Heinrich, R.; Reussner, R.
 2022. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000146803/v2Towards Automatic Parsing of Structured Visual Content through the Use of Synthetic Data
 Schölch, L.; Steinhauser, J.; Beichter, M.; Seibold, C.; Yang, K.; Knäble, M.; Schwarz, T.; Mädche, A.; Stiefelhagen, R.
 2022. doi:10.5445/IR/1000146801Breaking with Fixed Set Pathology Recognition through Report-Guided Contrastive Training
 Seibold, C.; Reiß, S.; Sarfraz, M. S.; Stiefelhagen, R.; Kleesiek, J.
 2022. doi:10.5445/IR/1000146800Efficient Shortest Paths in Scale-Free Networks with Underlying Hyperbolic Geometry
 Bläsius, T.; Freiberger, C.; Friedrich, T.; Katzmann, M.; Montenegro-Retana, F.; Thieffry, M.
 2022. doi:10.48550/arXiv.1805.03253On Conflict-Free Replicated Data Types and Equivocation in Byzantine Setups
 Jacob, F.; Bayreuther, S.; Hartenstein, H.
 2021. arxiv. doi:10.5445/IR/1000137905Model-driven Quantification of Correctness with Palladio and KeY
 Reiche, F.; Schiffl, J.; Weigl, A.; Heinrich, R.; Beckert, B.; Reussner, R.
 2021. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000128855
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PresentationsNachhaltige Softwareentwicklung: Von der Theorie zur Anwendung
 König, C.
 2024, July 12. Softwaretechnik I (2024), Karlsruhe, July 12, 2024
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PostersMulti-requirement Parametric Falsification
 Camilli, M.; Mirandola, R.
 2024. 46th International Conference on Software Engineering (ICSE 2024), Lisbon, Portugal, April 14–20, 2024Active learning for excited states dynamics simulations to discover molecular degradation pathways
 Zhou, C.; Kumar, P.; Escudero, D.; Friederich, P.
 2023. 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, USA, December 10–16, 2023Towards Managing and Organizing Research Activities
 Kaplan, A.; Rapp, M.; Ananieva, S.; Hajiabadi, H.; Kühn, R.; Mazkatli, M.; Schmid, L.; Singh, S.
 2021. 8th ACM Celebration of Women in Computing: womENcourage (2021), Online, September 22–24, 2021
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Research DataReplication Package for "Beyond Retrieval: A Study of Using LLM Ensembles for Candidate Filtering in Requirements Traceability"
 Fuchß, D.; Schwedt, S.; Keim, J.; Hey, T.
 2025, July 8. doi:10.5281/zenodo.15837231Supplementary Material for "Software Architecture Meets LLMs: A Systematic Literature Review"
 Schmid, L.; Hey, T.; Armbruster, M.; Corallo, S.; Fuchß, D.; Keim, J.; Liu, H.; Koziolek, A.
 2025. doi:10.5281/zenodo.15475475Replication Package for "Requirements Traceability Link Recovery via Retrieval-Augmented Generation"
 Hey, T.; Fuchß, D.; Keim, J.; Koziolek, A.
 2025. doi:10.5281/zenodo.14779457Replication Package: LiSSA: Toward Generic Traceability Link Recovery through Retrieval-Augmented Generation
 Fuchß, D.; Hey, T.; Keim, J.; Liu, H.; Ewald, N.; Thirolf, T.; Koziolek, A.
 2025, January 21. doi:10.5281/zenodo.14714706Replication Package: Enabling Architecture Traceability by LLM-based Architecture Component Name Extraction
 Fuchß, D.; Liu, H.; Hey, T.; Keim, J.; Koziolek, A.
 2024. doi:10.5281/zenodo.14506935View-Based-Reverse-Engineering/Retriever-Benchmark: v5.2.0.202410181425
 Kirschner, Y. R.; Bossert, F.; Stahl, M.; Koziolek, A.
 2024. doi:10.5281/zenodo.13952589View-Based-Reverse-Engineering/Retriever: v5.2.0.202410181425
 Kirschner, Y. R.; Bossert, F.; Gstür, M.; Peter, N.; Stahl, M.; Koziolek, A.
 2024, October 18. doi:10.5281/zenodo.13951797Formally Verifying an Efficient Sorter - Verification and Benchmarking Artifact
 Beckert, B.; Sanders, P.; Ulbrich, M.; Wiesler, J.; Witt, S.
 2023, December 30. doi:10.5281/zenodo.8436535Dataset and Replication Package for the View-Based Retriever Approach To Reverse Engineering Software Architecture Models
 Kirschner, Y.; Gstür, M.; Sağlam, T.; Weber, S.; Koziolek, A.
 2024, May 24. doi:10.5281/zenodo.11144303The Java Verification Tool KeY: A Tutorial
 Beckert, B.; Bubel, R.; Drodt, D.; Hähnle, R.; Lanzinger, F.; Pfeifer, W.; Ulbrich, M.; Weigl, A.
 2024. doi:10.5281/zenodo.11669182Replication Package for ICSE24 paper "Recovering Trace Links Between Software Documentation And Code"
 Keim, J.; Corallo, S.; Fuchß, D.; Hey, T.; Telge, T.; Koziolek, A.
 2024. doi:10.5281/zenodo.10411853Replication Package: An Expert Survey on the Use of Informal Models in the Automotive Industry
 Fuchß, D.; Kühn, T.; Pfeiffer, J.; Wortmann, A.; Koziolek, A.
 2023. doi:10.5281/zenodo.8199850
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