Easily define and execute business logic and business rules for your data-driven system with our easy-to-use low-code and model interpretation approach
A lightweight approach to generate domain models that automatically respect and enforce your business process definition
The quality of process descriptions in research is essential to reproducibility and theory building.
We suggest that model-based analysis can contribute to the improvement and concise communication of such descriptions. We demonstrate this by applying a model-based framework – PROVE – to restructure and analyze several process descriptions.
A new approach to partially generate graphical user interfaces from business process models based on a set of common BPMN patterns.
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
Summary of my invited talk at the RuleML+RR conference where I discussed why rules are not first-class citizens in software engineering and why this has to change to keep up with the demands of big data and open data.