We propose an extension to the OCL notation to be able to model constraints even when we do not have enough domain information to be completely precise about the rule we are modeling
Clustering of model instances by using graph kernels. Make sure you test your models with the most diverse set of examples!
We propose an iterative modeling approach where designers can dynamically customize the level of formality required in each iteration in a visual and intuitive way
If we want software verification techniques to be more adopted in the industry, we need to move to incremental verification approaches, where we reuse previous analysis to avoid reevaluating the whole model every time it is modified.
Defining the right constraints for any system is a challenging task that risks over-constraining or under-constraining the data. Our method helps designers to find the proper constraints by automatically mutating them to fit the sample data