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.
An average of 93% of an application’s source code could be written by a codebot. Generate is made for software engineers who want to get this quick head start on their applications
INNoVaServ is a modeling toolkit to support all modeling tasks part of Service Design. INNoVaServ facilitates the creation of technological bridges among modeling notations such as BPMN, e3, business model canvas,…
Discover Frame, a textual markdown language for system design that enables quickly specifying system behavior as automata.
Not all no-code tools are the same. We talk about two especially useful subcategories: no-learn and no-work. Another software revolution in the making?
A model-based approach to assist developers in the migration of legacy applications with business logic implemented in triggers and PL/SQL code
Technologies such as Virtual (VR) or Augmented Reality (AR) are enabling users to immerse in digital worlds. Could VR and AR experiences be part of the next generation of modeling editors?
Domain models capture the key concepts and relationships of a business domain, leaving out superfluous details. During the domain modeling activity carried out as part of a software development project, informal descriptions of a domain are translated into a...
Yet Another Model Transformation Language (YAMTL) provides a fresh approach to model transformation by favouring agility, interoperability, reuse, expressivity and performance. With YAMTL, model transformations can be easily integrated within JVM programs and model...
Every day more and more interesting resources as published as open data. We help citizens access them by generating a chatbot to talk with Open Data.
Need to transform very large models? Take a look at this new approach built on top of Apache Spark