Low-code vs model-driven: are they the same?
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.
Towards the Optical Character Recognition of DSLs
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.
Automatic Generation of Workflow-Aware Domain Models
A lightweight approach to generate domain models that automatically respect and enforce your business process definition
MDENet: The expert network for Model-Driven Engineering
We are pleased to announce the creation of a new expert network on Model-Driven Engineering. With initial funding from the Engineering and Physical Sciences Research Council in the United Kingdom, MDENet brings together research and practice, in the UK and...
PapyGame – Let’s play modeling
PapyGame is an initiative to gamify the process of learning modeling. It’s a gamified version of Papyrus that instructors can use to easily create new modeling games to help students learning any specific modeling aspect.
A Modeling Editor and Code Generator for event-driven architectures with AsyncAPI
AsyncAPI allows you to define Message-Driven APIs in a machine-readable format. Our AsyncAPI toolkit helps you to model and create AsyncAPI specifications and automatically generate code from them.
Opportunities in Intelligent Modeling Assistance
We present a conceptual reference framework to identify the foundations for intelligent modeling assistance as well as the open challenges and the opportunities they bring to the modeling world.
JSOI: An EMF model interchange format for efficient model management
JSOI is your model interchange solution if you want the ability to retrieve subsets of elements by type, lazy evaluation of references or get element demographics without element loading.
Improving research quality thanks to modeling tools: model-based analysis of process descriptions
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.
SEET: Symbolic Execution of ETL Transformations
Find logical errors in model transformations by means of applying symbolic execution methods.
Conceptual modelling for the rest of us with ConML
Modelling is a useful technique for shaping, exploring, documenting, understanding and communicating artefacts of many kinds, and not only software. ConML is a conceptual modelling language for non-experts in information technologies and especially suited to serve non-software modeling domains.
Modeling: all you need to know
