Model-driven development has become a leading paradigm for developing CPS because it enables the developer to verify safety requirements in early development phases and refine the models into an implementation preserving the verified requirements.
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.
We explore the benefits of using time-series databases to store models data. Thanks to this we can now query historical model information and perform advanced time-series analysis on it, especially useful when dealing with run-time models.
I don’t see any significant technical novelty in the low-code movement. But I do not see this as being negative. More the opposite. Read why I think the low-code movement represents a great opportunity for the modeling community.
We propose a few techniques to improve the quality of OCR over DSLs. The key idea is to use information about the DSL specification (e.g. lexicon, grammar) itself to drive the recognition process.
