Publications

2022

• Stadler, M., Vierhauser, M., Garmendia, A., Wimmer, M. and Cleland-Huang, J., 2022, May. Flexible Model-Driven Runtime Monitoring Support for Cyber-Physical Systems. IEEE/ACM 44th International Conference on Software Engineering (ICSE) Poster.
• Khorram, F., Bousse, E., Garmendia, A., Mottu, J. M., Sunyé, G., and Wimmer, M., 2022, November. From Coverage Computation to Fault Localization: A Generic Framework for Domain-Specific Languages. In Proceedings of the 15th ACM SIGPLAN International Conference on Software Language Engineering (pp. 235-248).
• Muñoz, Paula, Javier Troya, Manuel Wimmer, and Gerti Kappel. "Revisiting Fault Localization Techniques for Model Transformations: Towards A Hybrid Approach." Journal of Object Technology 21, no. 4 (2022).

2021

• Lehner, D., Garmendia, A. and Wimmer, M., 2021, September. Towards flexible evolution of Digital Twins with fluent APIs. In 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) (pp. 1-4). IEEE.
• Wiesmayr, B., Zoitl, A., Garmendia, A. and Wimmer, M., 2021, September. A Model-based Execution Framework for Interpreting Control Software. In 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) (pp. 1-8). IEEE.
• Vierhauser, M., Marah, H., Garmendia, A., Cleland-Huang, J. and Wimmer, M., 2021, May. Towards a model-integrated runtime monitoring infrastructure for cyber-physical systems. In 2021 IEEE/ACM 43rd International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER) (pp. 96-100). IEEE.
• Gemeinhardt, F., Garmendia, A. and Wimmer, M., 2021, June. Towards model-driven quantum software engineering. In 2021 IEEE/ACM 2nd International Workshop on Quantum Software Engineering (Q-SE) (pp. 13-15). IEEE.
• Eisenberg, M., Pichler, H.P., Garmendia, A. and Wimmer, M., 2021, October. Towards Reinforcement Learning for In-Place Model Transformations. In 2021 ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS) (pp. 82-88). IEEE.
• Colantoni, A., Garmendia, A., Berardinelli, L., Wimmer, M. and Bräuer, J., 2021, October. Leveraging model-driven technologies for JSON artefacts: The shipyard case study. In 2021 ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS) (pp. 250-260). IEEE.

2020

• Garmendia, A., Wimmer, M., Guerra, E., Gómez-Martínez, E. and de Lara, J., 2020, November. Automated variability injection for graphical modelling languages. In Proceedings of the 19th ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences (pp. 15-21).
• Garmendia, A., Wimmer, M., Mazak-Huemer, A., Guerra, E. and de Lara, J., 2020, September. Modelling Production System Families with AutomationML. In 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) (Vol. 1, pp. 1057-1060). IEEE.
• Bork, D., Garmendia, A. and Wimmer, M., 2020, November. Towards a Multi-Objective Modularization Approach for Entity-Relationship Models. In ER Forum/Posters/Demos (pp. 45-58).

2019

• Bousse, E. and Wimmer, M., 2019, September. Domain-level observation and control for compiled executable dsls. In 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems (MODELS) (pp. 150-160). IEEE.
• Leroy, D., Bousse, E., Wimmer, M., Mayerhofer, T., Combemale, B. and Schwinger, W., 2020. Behavioral interfaces for executable DSLs. Software and Systems Modeling, 19(4), pp.1015-1043.
• Leroy, D., Jeanjean, P., Bousse, E., Wimmer, M. and Combemale, B., 2020. Runtime Monitoring for Executable DSLs. The Journal of Object Technology, 19(2), pp.1-23.