Evgeny Kusmenko
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Cited by
SMArDT modeling for automotive software testing
I Drave, S Hillemacher, T Greifenberg, S Kriebel, E Kusmenko, ...
Software: Practice and Experience, 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
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
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
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
On the Engineering of AI-Powered Systems
E Kusmenko, S Pavlitskaya, B Rumpe, S Stüber
Modeling Dynamic Architectures of Self-Adaptive Cooperative Systems.
N Kaminski, E Kusmenko, B Rumpe
J. Object Technol. 18 (2), 2:1-20, 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
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 18, 163-178, 2018
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
Modeling Deep Reinforcement Learning based Architectures for Cyber-Physical Systems
N Gatto, E Kusmenko, B Rumpe
Models Workshop MDE Intelligence, 2019
Simulation as a Service for Cooperative Vehicles
JC Kirchhof, E Kusmenko, B Rumpe, H Zhang
Models Workshop MASE, 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
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
Component-based integration of interconnected vehicle architectures
AD Hellwig, S Kriebel, E Kusmenko, B Rumpe
2019 IEEE intelligent vehicles symposium (IV), 153-158, 2019
EmbeddedMontiArc: Textual Modeling Alternative to Simulink
E Kusmenko, JM Ronck, B Rumpe, M von Wenckstern
Finding Inconsistencies in Design Models and Requirements by Applying the SMARDT Process
S Kriebel, E Kusmenko, B Rumpe, M von Wenckstern
MBEES, 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
Fast Simulation Preorder Algorithm.
E Kusmenko, I Shumeiko, B Rumpe, M von Wenckstern
MODELSWARD, 256-267, 2018
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
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