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.
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
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”.
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 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.
Increasing complexity of model-based systems opens the door for recommender systems that could assist us in creating, repairing, reusing, … our models and transformations.
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
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?
Learn how genetic programming, enhanced by a new social diversity measure, can automatically learn complex models
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.