When developing complex, software-intensive or cyber-physical systems, uncertainty must be managed during all stages. Especially if made explicit, it can significantly affect the design decisions of various stakeholders. A necessary requirement for determining the effect of uncertainty on a system and deciding whether...
Nathan Hagel, Johannes Mäkelburg, Alireza Maleki et al.· Proceedings of the ACM/IEEE...· 1 citation
GNN4PPM is introduced, an approach that predicts all next events along with their complete data payload at once and represents event information in a heterogeneous knowledge graph that captures the event log as an RDF semantics, and train the embeddings with a Relational Graph Convolutional Network (R-GCN).
Ana Costa, Johannes Mäkelburg, L. Pufahl· 0 citations
Uncer-tainTree is presented, an end-to-end process that makes uncertainty a first-class concern of multi-model consistency analysis and includes interacting uncertainties from various sources and models.
Nathan Hagel, Johannes Mäkelburg, M. Armbruster et al.· Proceedings of the ACM/IEEE...· 1 citation
The results show that inconsistency under uncertainty can be effectively learned, analyzed, and repaired through response-surface modeling, providing a scalable foundation for uncertainty-aware consistency management in CPS development.
Johannes Mäkelburg, Tim Schwabe, Maribel Acosta· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
