Diverse scenario exploration in model finders using graph kernels and clustering
Clustering of model instances by using graph kernels. Make sure you test your models with the most diverse set of examples!
A Generic LSTM-Based Neural Network Architecture to infer Heterogeneous Model Transformations
We propose to take advantage of the advances in Artificial Intelligence and, in particular, Long Short-Term Memory Neural Networks (LSTM), to automatically infer heterogeneous model transformations from sets of input-output model pairs.
Opportunities in Intelligent Modeling Assistance
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.
A Chatbot DSL based on State Machine semantics
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
MDE Intelligence (2020 edition)
It’s undeniable that Artificial Intelligence (AI) has become part of everyone’s life. It is used by companies to exploit the information they collect to improve the products or services they offer and, wanted or unwanted, it is present in almost every...Modeling: all you need to know
