Models need to represent the reality as accurately as possible. Nevertheless, complex systems are subject to uncertainty something difficult to express with plain UML. We propose a way to represent uncertainty on software models. Our uncertainty values can then be propagated through model transformations to evaluate the impact on other parts of the system.
We present a novel robust hashing mechanism for models. Robust hashing algorithms (i.e. hashing algorithms that generate similar outputs from similar input data) are useful as a key building block in intellectual property protection, authenticity assessment and fast comparison and retrieval solutions
A web front-end for your modeling software thanks to this technology to develop domain-specific language editors for web apps and cloud IDEs
A new column in the IEEE software promoting conference papers of special interest for software professionals. This time with Models papers.
List of accepted papers for the foundations and in practice tracks at Models 2015. Get excited about what you’ll see in Ottawa!
