| 2023 | MODELS | DiNeROS: A Model-Driven Framework for Verifiable ROS Applications with Petri Nets. | Sebastian Ebert, Johannes Mey, Ren Schne, Sebastian Gtz, Uwe Amann |
| 2023 | MODELS | A Performant Low-Code System for the Timely Implementation of Road Safety Regulations. | Lars Westermann, Johannes Mey, Ren Schne, Uwe Amann |
| 2022 | FPL | Model-based Generation of Hardware/Software Architectures for Robotics Systems. | Ariel Podlubne, Johannes Mey, Sergio A. Pertuz, Uwe Amann, Diana Ghringer |
| 2022 | MODELS | Incremental causal connection for self-adaptive systems based on relational reference attribute grammars. | Ren Schne, Johannes Mey, Sebastian Ebert, Sebastian Gtz, Uwe Amann |
| 2020 | MODELS | Runtime modeling and analysis of IoT systems. | Alfred kesson, Grel Hedin, Niklas Fors, Ren Schne, Johannes Mey |
| 2020 | MODELS | Connecting conceptual models using relational reference attribute grammars. | Ren Schne, Johannes Mey, Sebastian Ebert, Uwe Amann |
| 2019 | MODELS | Bridging the Gap between Smart Home Platforms and Machine Learning using Relational Reference Attribute Grammars. | Ren Schne, Johannes Mey, Boqi Ren, Uwe Amann |
| 2019 | SOFSEM | Cross-Layer Adaptation in Multi-layer Autonomic Systems (Invited Talk). | Uwe Amann, Dominik Grzelak, Johannes Mey, Dmytro Pukhkaiev, Ren Schne, Christopher Werner, Georg Pschel |
| 2018 | SLE | Continuous model validation using reference attribute grammars. | Johannes Mey, Ren Schne, Grel Hedin, Emma Sderberg, Thomas Khn, Niklas Fors, Jesper qvist, Uwe Amann |
| 2016 | DATE | Using Reference Attribute Grammar-Controlled Rewriting for Runtime Resource Management. | Johannes Mey, Ren Schne, Daniel Langner, Christoff Brger |
| 2016 | ICCS | Using Semantics-Aware Composition and Weaving for Multi-Variant Progressive Parallelization. | Johannes Mey, Sven Karol, Uwe Amann, Immo Huismann, Jrg Stiller, Jochen Frhlich |
| 2015 | MODELS | Using Reference Attribute Grammar-Controlled Rewriting for Energy Auto-Tuning. | Christoff Brger, Johannes Mey, Ren Schne, Sven Karol, Daniel Langner |