• After successfully completing the module, the student should be able to:
  • Understanding of Model-Driven Software Engineering (MDSE): proficiency in defining and explaining the principles and concepts of MDSE, including modeling languages, metamodeling, and model transformations.
  • Modeling Languages Proficiency: competence in using Unified Modeling Language (UML) and creating Domain-Specific Modeling Languages (DSML) for specific problem domains
  • Metamodeling and Model Transformation Skills: ability to design and utilize metamodels effectively; proficiency in implementing various types of model transformations
  • Model-Driven Development (MDD) Process Knowledge: understanding of the phases involved in the MDD process; ability to apply MDD in real-world scenarios, considering roles and responsibilities
  • Case Study Analysis: ability to analyze and discuss case studies of successful applications and challenges in Model-Driven Development projects.
  • Model-Driven Testing and Validation Competence: proficiency in automated testing using models and applying model-based testing techniques; skills in validating and verifying models for consistency and correctness
  • Tool Support and Environment Familiarity: Knowledge of the landscape of existing MDSE tools; proficiency in working with Integrated Development Environments (IDEs) tailored for MDSE.
  • Advanced Topics Understanding: familiarity with advanced topics such as Model-Driven Architecture (MDA) and Model-Driven Engineering for Cyber-Physical Systems (CPS); ability to discuss challenges, opportunities, and applications in these areas

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