Comparing the Effort of Developing Enterprise Applications with Programming and with Domain-Specific Modeling
We report on a case study comparing development productivity between traditional programming languages and a domain-specific modeling language. Check out why domain-specific modeling was over 500% as productive and changed the way how development was carried out.
Debugging Unsatisfiable Integrity Constraints in UML/OCL Class Diagrams
Learn about MVM (Model Validator Mixer), a modeling tool for domain engineers that helps them locate, understand and fix consistency problems in UML/OCL class diagrams
Talking to Dimensional Data Through Chatbots
When querying multidimensional databases, finding information may be a complex task for end users. Chatbots can minimize this issue, facilitating query formulation and allowing the user to “talk to the data”.
Integrating Content Management Systems in model-driven processes
Learn how to discover the data behind a content-management system and generate the code to interact with the CMS API to get and modify that data. All following a platform-independent modeling approach
ModelRunner: an Open Source, No-Code, NLU and voice ready Data Platform
ModelRunner comes with a voice interface to both design and interact with your data-driven application. All by relying on a domain model, including for the NLU part.
Recommender systems in model-driven engineering
Increasing complexity of model-based systems opens the door for recommender systems that could assist us in creating, repairing, reusing, … our models and transformations.
Model-driven and no-code solutions to build AI systems without coding
A selection of visual modeling and no-code environments for data science, machine learning and smart apps. The fastest way to start building your own AI components and ML models
20+ JavaScript libraries to draw your own diagrams (2022 edition)
A list of the best JavaScript drawing libraries. We cover libraries offering a predefined palette of components to reuse as well as lower-level libraries focusing on graph drawing primitives.
Self-adaptive architectures in IoT systems: a systematic literature review
What are the common strategies to deal with dynamic events in IoT systems? What DSL can we use to define the adaptation actions to address them?
Social diversity in the automatic learning of complex MDE artefacts
Learn how genetic programming, enhanced by a new social diversity measure, can automatically learn complex models
Towards Self-Adaptable Languages
Existing software languages do not capitalize on monitored usage data of the language and its modeling environment. This hinders the continuous and automatic evolution of the software language based on feedback loops.
Modeling: all you need to know
