Can the configuration of static analyses make resolving security vulnerabilities more effective? - A user study
G. Piskachev, M. Becker, E. Bodden, Empirical Software Engineering 28 (2023).

Securing Your Crypto-API Usage Through Tool Support - A Usability Study
S. Krüger, M. Reif, A.-K. Wickert, S. Nadi, K. Ali, E. Bodden, Y. Acar, M. Mezini, S. Fahl, in: 2023 IEEE Secure Development Conference (SecDev), IEEE, 2023.

Entwicklung und Analyse von Formeln zur Abschätzung der Renderingzeit eines Frames
A. Nickel, Entwicklung Und Analyse von Formeln Zur Abschätzung Der Renderingzeit Eines Frames, 2023.

Reconstruction of 3D Surfels from Neural Radiance Fields
V. Telaprolu, Reconstruction of 3D Surfels from Neural Radiance Fields, 2023.

Shape Reconfiguration by Hybrid Programmable Matter
J. Friemel, Shape Reconfiguration by Hybrid Programmable Matter, 2023.

TCO analysis of a modular and integral product architecture in shipbuilding
T. Seidenberg, J.-P. Disselkamp, C. Jürgenhake, A. Wicker, R. Dumitrescu, E. Tolo, in: 2023.

Future production of ships – case study for modular high-speed ferries
J.-P. Disselkamp, T. Seidenberg, C. Jürgenhake, H. Anacker, R. Dumitrescu, in: 2023.

Idélic Approach in Enumerating Heisenberg Extensions
J. Klüners, J. Wang, La Matematica (2023).

On the Impact of Basic Mutation Operators and Populations within Evolutionary Algorithms for the Dynamic Weighted Traveling Salesperson Problem
J. Bossek, A. Neumann, F. Neumann, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2023, pp. 248–256.

Runtime Analysis of Quality Diversity Algorithms
J. Bossek, D. Sudholt, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2023, pp. 1546–1554.

Generating Diverse and Discriminatory Knapsack Instances by Searching for Novelty in Variable Dimensions of Feature-Space
A. Marrero, E. Segredo, E. Hart, J. Bossek, A. Neumann, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2023, pp. 312–320.

Do Additional Target Points Speed Up Evolutionary Algorithms?
J. Bossek, D. Sudholt, Theoretical Computer Science (2023) 113757.

On Single-Objective Sub-Graph-Based Mutation for Solving the Bi-Objective Minimum Spanning Tree Problem
J. Bossek, C. Grimme, Evolutionary Computation (2023) 1–35.

Expertise and professionalism for inclusive (mathematics) teaching and learning: reflections on findings from interdisciplinary professionalisation research
S. Seitz, U. Häsel-Weide, Y. Wilke, M. Wallner, Teachers and Teaching (2023) 1–16.

DP-NMT: Scalable Differentially-Private Machine Translation
T. Igamberdiev, D.N.L. Vu, F. Künnecke, Z. Yu, J. Holmer, I. Habernal, (2023).

LaCour!: Enabling Research on Argumentation in Hearings of the European Court of Human Rights
L. Held, I. Habernal, (2023).

A study on the effects of normalized TSP features for automated algorithm selection
J. Heins, J. Bossek, J. Pohl, M. Seiler, H. Trautmann, P. Kerschke, Theoretical Computer Science 940 (2023) 123–145.

Meta-Reinforcement-Learning-Based Current Control of Permanent Magnet Synchronous Motor Drives for a Wide Range of Power Classes
D. Jakobeit, M. Schenke, O. Wallscheid, IEEE Transactions on Power Electronics 38 (2023) 8062–8074.

The data awareness framework as part of data literacies in K-12 education
L. Höper, C. Schulte, Information and Learning Sciences (2023).

Adding Why to What? Analyses of an Everyday Explanation
L. Terfloth, M. Schaffer, H.M. Buhl, C. Schulte, in: Springer, Cham, 2023.