Model Driven Approaches in System Development

(MDASD)

For many years, various approaches in system design and implementation differentiate between the specification of the system and its implementation on a particular platform. People in software industry have been using models for a precise description of systems at the appropriate abstraction level without unnecessary details. Model-Driven (MD) approaches to the system development increase the importance and power of models by shifting the focus from programming to modeling activities. Models may be used as primary artifacts in constructing software, which means that software components are generated from models.

In the AI era, MD approaches provide a structured framework for the design, development and optimization of complex systems by creating models that represent different system components, learning algorithms, neural networks and/or other components of a system. At the same time, adaptability is increased as the entire system can be updated quickly without having to rewrite large parts of the code, making it easier to integrate new functions or intelligent components.

A goal of the proposed workshop is to bring together people working on MD approaches, techniques and tools as well as domain-specific modeling (DSM) and domain-specific languages (DSL) and applying them in all aspects of intelligent or other information systems, in order to share their experiences, develop new ideas, evaluate and improve MD approaches, and disseminate their application. The intent is to strive for an interdisciplinary nature of MD approaches in software development, as well as research topics expressed by, but not limited to, acronyms such as Model Driven Software Engineering (MDSE), Model Driven Development (MDD), Domain Specific Modeling (DSM), and OMG's Model Driven Architecture (MDA). Apart from analyzing application perspectives of MD approaches in intelligent systems, another important aspect nowadays that MDASD intends to cover is how to deploy modern AI & ML based approaches in the software process based on a wide spectrum of MD approaches.