We present a conceptual reference framework to identify the foundations for intelligent modeling assistance as well as the open challenges and the opportunities they bring to the modeling world.
Our new Chabot DSL, based on state machine semantics, facilitates the creation of bots with complex conversational flows and maximizes the reuse of bot parts in future projects
A Machine Learning approach to determine the conformance of unstructured models against a set of potential metamodels
Use natural language to query your models with our chatbot automatically generated from any domain-model. Built on Eclipse with Xatkit
We propose to take advantage of the advances in Artificial Intelligence and, in particular, Long Short-Term Memory Neural Networks (LSTM), to automatically infer model transformations from sets of input-output model pairs.