1.1k citations · 3.2k across the 157 of their papers we have counts for
167 papers
Technical Report on Neural Language Models and Few-Shot Learning for Systematic Requirements Processing in MDSE
Vincent Bertram, Miriam Boß, Evgeny Kusmenko +4
Systems engineering, in particular in the automotive domain, needs to cope with the massively increasing numbers of requirements that arise during the development process. To guara…
Design Guidelines for Improving User Experience in Industrial Domain-Specific Modelling Languages
Rohit Gupta, Nico Jansen, Nikolaus Regnat +1
Domain-specific modelling languages (DSMLs) help practitioners solve modelling challenges specific to various domains. As domains grow more complex and heterogeneous in nature, ind…
MDE for Machine Learning-Enabled Software Systems: A Case Study and Comparison of MontiAnna & ML-Quadrat
Jörg Christian Kirchhof, Evgeny Kusmenko, Jonas Ritz +5
In this paper, we propose to adopt the MDE paradigm for the development of Machine Learning (ML)-enabled software systems with a focus on the Internet of Things (IoT) domain. We il…
Self-Adaptive Manufacturing with Digital Twins
Tim Bolender, Gereon Bürvenich, Manuela Dalibor +2
Digital Twins are part of the vision of Industry 4.0 to represent, control, predict, and optimize the behavior of Cyber-Physical Production Systems (CPPSs). These CPPSs are long-li…
Towards a Systematic Engineering of Industrial Domain-Specific Language
Rohit Gupta, Sieglinde Kranz, Nikolaus Regnat +2
Domain-Specific Languages (DSLs) help practitioners in contributing solutions to challenges of specific domains. The efficient development of user-friendly DSLs suitable for indust…
Software Engineering und Software Engineering Forschung im Zeitalter der Digitalisierung
Michael Felderer, Ralf Reussner, Bernhard Rumpe
Digitization not only affects society, it also requires a redefinition of the location of computer science and computer scientists, as the science journalist Yogeshwar suggests. Si…