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Catalog description:

An introduction to model-driven software engineering (MDSE) techniques; applying software engineering practices to model-based artifacts; modeling and abstraction; model transformations; model-based testing; tool implementations.

Prerequisite:

CSE 201

Graduate Students:

Graduate Students will be expected to conduct an independent research paper component where they will survey the field, find an appropriate topic of study and conduct and present their findings.

Course Outcomes:

1. Design conceptual models as primary artifacts to be used in model-driven software engineering projects.
2. Create meta-models and resulting Hinstance models for typical software systems.
3. Apply various model transformation techniques including model-to-model and model-to-text transformations.
4. Create dynamic behavioral models capable of representing real-world behaviors using standard behavioral modeling languages.
5. Apply simulation of models to ensure correctness and completeness of models.
6. Apply model-based testing techniques to generate and execute tests for model-driven software engineering projects.
7. Create various types of models using current modeling technologies.
8. (Graduate students only) Perform an in-depth literature survey on a relevant model-driven software engineering research topic and present the results in a research paper.