EMFular generates ready-to-use Angular-based graphical EMF model editors from Ecore metamodels that run entirely in the browser while preserving EMF consistency and interoperability.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.SE 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A hybrid genetic algorithm with model transformations generates families of RL training environments, demonstrated for wildfire mitigation and curriculum learning.
citing papers explorer
-
Web-Native Graphical EMF Model Editors
EMFular generates ready-to-use Angular-based graphical EMF model editors from Ecore metamodels that run entirely in the browser while preserving EMF consistency and interoperability.
-
A Model-Driven Approach for Developing Families of Reinforcement Learning Environments
A hybrid genetic algorithm with model transformations generates families of RL training environments, demonstrated for wildfire mitigation and curriculum learning.