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MODELSWARD 2021 : 9th International Conference on Model-Driven Engineering and Software Development

Vienna, Austria
Event Date: Feb 08, 2021 - Feb 10, 2021
Submission Deadline: Sep 14, 2020
Notification of Acceptance: Nov 12, 2020
Camera Ready Version Due : Nov 26, 2020

About

The purpose of the International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2021, is to provide a platform for researchers, engineers, academics as well as industrial professionals from all over the world to present their research results and development activities in using models and model driven engineering techniques for Software Development. Model-Driven Development (MDD) is an approach to the development of IT systems in which models take a central role, not only for analysis of these systems but also for their construction. MDD has emerged from modelling initiatives, most prominently the Model-Driven Architecture (MDA) fostered by the Object Management Group (OMG). In the scope of MDA, a couple of technologies have been developed that became the cornerstones of MDD, like metamodelling and model transformations. MDD relies on languages for defining metamodels, like the Meta-Object Facility (MOF) and Ecore (developed in the scope of the Eclipse Modelling Framework), and transformation specification languages like QVT and ATL.

Call For Paper

Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:

1. METHODOLOGIES, PROCESSES AND PLATFORMS
2. APPLICATIONS AND SOFTWARE DEVELOPMENT
3. MODELING LANGUAGES, TOOLS AND ARCHITECTURES

AREA 1: METHODOLOGIES, PROCESSES AND PLATFORMS

  • Agile Model-Driven Development
  • Business Process Modeling
  • Frameworks for Model-Driven Development
  • Multi-level and Multi-view Modeling
  • Model Transformations and Generative Approaches
  • Artificial Intelligence (AI) for Modeling Support
  • Software Process Modeling, Enactment and Execution
  • Systems Engineering

AREA 2: APPLICATIONS AND SOFTWARE DEVELOPMENT

  • Component-Based Software Engineering
  • Data Mining Applications
  • Model-Driven Software Product Lines
  • Executable UML
  • Automated Code Generation
  • Model Execution and Simulation
  • Model Quality
  • Model-Based Testing and Validation
  • Model Management
  • Modeling for AI Applications
  • Model-Driven Development of Cyber Physical Systems

AREA 3: MODELING LANGUAGES, TOOLS AND ARCHITECTURES

  • Constraint Modeling and Languages
  • Domain-Specific Modeling
  • General-Purpose Modeling Languages and Standards
  • Metamodeling: Foundations and Tools
  • Model Transformation
  • Model-Driven Architecture
  • Reasoning about Models
  • Model-Driven Software and Services Infrastructures
  • Syntax and Semantics of Modeling Languages

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