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2024
From single-objective to multi-objective reinforcement learning-based model transformation
M. Eisenberg, M. Wimmer: From single-objective to multi-objective reinforcement learning-based model transformation, Special Section Paper, Journal Software and Systems Modeling, 19.11.2024, Doi: Doi: 10.1007/s10270-024-01233-6
Journal Article
Multi-objective model transformation chain exploration with MOMoT
M. Eisenberg, A. Sahay, D. Di Ruscio, L. Iovino, M. Wimmer, A. Pierantonio: Multi-objective model transformation chain exploration with MOMoT, Journal of Information and Software Technology, Volume 174, pages 107500, 2024. Doi: 10.1016/j.infsof.2024.107500
Journal Article
Automatic Optimization of Tolerance Ranges for Model-Driven Runtime State Identification
S. Sint, A. Mazak-Huemer, M. Eisenberg, D. Waghubinger, M. Wimmer: Automatic Optimization of Tolerance Ranges for Model-Driven Runtime State Identification, in IEEE Transactions on Automation Science and Engineering, 10.1109/TASE.2024.3386313
Conference Article

2023
Model-Driven Optimization for Quantum Program Synthesis with MOMoT
F. Gemeinhardt, M. Eisenberg, S. Klikovits, M. Wimmer: Model-Driven Optimization for Quantum Program Synthesis with MOMoT, 5th Workshop on Artificial Intelligence and Model-driven Engineering, 26th International Conference on Model Driven Engineering Languages and Systems MODELS 2023, Västeras, Schweden, October 1-6, 2023. 10.1109/MODELS-C59198.2023.00100
Conference Article
Leveraging Artificial Intelligence for Model-based Software Analysis and Design
A. Garmendia, D. Bork, M. Eisenberg, T. Ferreira, M. Kessentini, M., Wimmer: Leveraging Artificial Intelligence for Model-based Software Analysis and Design, In: Romero, J.R., Medina-Bulo, I., Chicano, F. (eds) Optimising the Software Development Process with Artificial Intelligence, Natural Computing Series, Springer, pages 93-117, July 2023, Doi:10.1007/978-981-19-9948-2_4.
Book Chapter
A Pattern Catalog for Augmenting Digital Twin Models with Behavior
D. Lehner, S. Sint, M. Eisenberg, M. Wimmer: A Pattern Catalog for Augmenting Digital Twin Models with Behavior, in Journal at - Automatisierungstechnik, Mai 2023, pdf. Doi: 10.1515/auto-2022-0144/html
Journal Article

2022
Towards Reactive Planning with Digital Twins and Model-Driven Optimization
M. Eisenberg, D.Lehner, R. Sindelar, M. Wimmer: Towards Reactive Planning with Digital Twins and Model-Driven Optimization, in T. Margaria, B. Steffen, (eds): Leveraging Applications of Formal Methods, Verification and Validation, Practice, Lecture Notes in Computer Science, Volume 13704, Springer, Cham, 11th International Symposium, ISoLA 2022, Rhodes, Greece, October 22–30, 2022. Doi: 10.1007/978-3-031-19762-8_5, pdf
Conference Article

2021
Searching for Models with Hybrid AI Techniques
M. Eisenberg, H.P. Pichler, A. Garmendia, M. Wimmer: Searching for Models with Hybrid AI Techniques, 3rd International Workshop on Conceptual Modeling Meets Artificial Intelligence (CMAI 2021), co-Located with the 40th International Conference on Conceptual Modeling (ER 2021), 18-21 October 2021, St. Johns, Canada, virtual. talk
Misc
Towards Reinforcement Learning for In-Place Model Transformations
M .Eisenberg, H.P. Pichler, A. Garmendia, M. Wimmer: Towards Reinforcement Learning for In-Place Model Transformations, ACM / IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS), Fukuoka Japan, October 10-15, 2021. pdf
Conference Article