SMArDT modeling for automotive software testing I Drave, S Hillemacher, T Greifenberg, S Kriebel, E Kusmenko, ... Software: Practice and Experience, 2018 | 51 | 2018 |
Modeling architectures of cyber-physical systems E Kusmenko, A Roth, B Rumpe, M von Wenckstern Modelling Foundations and Applications: 13th European Conference, ECMFA 2017 …, 2017 | 38 | 2017 |
Highly-Optimizing and Multi-Target Compiler for Embedded System Models: C++ Compiler Toolchain for the Component and Connector Language EmbeddedMontiArc E Kusmenko, B Rumpe, S Schneiders, M von Wenckstern Proceedings of the 21th ACM/IEEE International Conference on Model Driven …, 2018 | 29 | 2018 |
Modeling and training of neural processing systems E Kusmenko, S Nickels, S Pavlitskaya, B Rumpe, T Timmermanns 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering …, 2019 | 27 | 2019 |
Simulation Framework for Executing Component and Connector Models of Self-Driving Vehicles. F Grazioli, E Kusmenko, A Roth, B Rumpe, M von Wenckstern MODELS (Satellite Events), 109-115, 2017 | 25 | 2017 |
On the Engineering of AI-Powered Systems E Kusmenko, S Pavlitskaya, B Rumpe, S Stüber | 17 | 2019 |
Modeling Dynamic Architectures of Self-Adaptive Cooperative Systems. N Kaminski, E Kusmenko, B Rumpe J. Object Technol. 18 (2), 2:1-20, 2019 | 16 | 2019 |
Artifact and reference models for generative machine learning frameworks and build systems A Atouani, JC Kirchhof, E Kusmenko, B Rumpe Proceedings of the 20th ACM SIGPLAN International Conference on Generative …, 2021 | 15 | 2021 |
Model-Based Development of Self-Adaptive Autonomous Vehicles using the SMARDT Methodology. S Hillemacher, S Kriebel, E Kusmenko, M Lorang, B Rumpe, A Sema, ... MODELSWARD, 163-178, 2018 | 15 | 2018 |
Modeling Deep Reinforcement Learning based Architectures for Cyber-Physical Systems N Gatto, E Kusmenko, B Rumpe Models Workshop MDE Intelligence, 2019 | 14 | 2019 |
Multi-level modeling framework for machine as a service applications based on product process resource models C Brecher, E Kusmenko, A Lindt, B Rumpe, S Storms, S Wein, ... Proceedings of the 2nd International Symposium on Computer Science and …, 2018 | 14 | 2018 |
Simulation as a Service for Cooperative Vehicles JC Kirchhof, E Kusmenko, B Rumpe, H Zhang Models Workshop MASE, 2019 | 13 | 2019 |
Distributed simulation of cooperatively interacting vehicles C Frohn, P Ilov, S Kriebel, E Kusmenko, B Rumpe, A Ryndin 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 13 | 2018 |
Neural language models and few shot learning for systematic requirements processing in mdse V Bertram, M Boß, E Kusmenko, IH Nachmann, B Rumpe, D Trotta, ... Proceedings of the 15th ACM SIGPLAN International Conference on Software …, 2022 | 9 | 2022 |
Component-based integration of interconnected vehicle architectures AD Hellwig, S Kriebel, E Kusmenko, B Rumpe 2019 IEEE intelligent vehicles symposium (IV), 153-158, 2019 | 6 | 2019 |
MDE for machine learning-enabled software systems: a case study and comparison of MontiAnna & ML-Quadrat JC Kirchhof, E Kusmenko, J Ritz, B Rumpe, A Moin, A Badii, ... Proceedings of the 25th International Conference on Model Driven Engineering …, 2022 | 5 | 2022 |
EmbeddedMontiArc: Textual Modeling Alternative to Simulink E Kusmenko, JM Ronck, B Rumpe, M von Wenckstern | 5 | 2018 |
Finding Inconsistencies in Design Models and Requirements by Applying the SMARDT Process S Kriebel, E Kusmenko, B Rumpe, M von Wenckstern MBEES, 2018 | 5 | 2018 |
Learning Error Patterns from Diagnosis Trouble Codes S Kriebel, E Kusmenko, B Rumpe, I Shumeiko 2019 IEEE Intelligent Vehicles Symposium (IV), 179-184, 2019 | 4 | 2019 |
Fast Simulation Preorder Algorithm. E Kusmenko, I Shumeiko, B Rumpe, M von Wenckstern MODELSWARD, 256-267, 2018 | 4 | 2018 |