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| Detailed information |
| Original study plan |
Master's programme Computer Science 2023W |
| Objectives |
Graduates understand the concepts and techniques of model engineering in general and for data-intensive systems in particular. They are capable of developing data-intensive systems on basis of model engineering techniques and have knowledge about specific applications and current trends in model engineering.
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| Subject |
Principles of Model Engineering
- UML2 – selected topics and modeling heuristics
- Metamodeling (MOF, Ecore/EMF)
- Model-to-Model Transformations (OCL, ATL as industrial-strength realisation of QVT)
- Model-to-Code Transformations (XML-based, Java-based, Model-based)
- Commonalities and Differences between Model Engineering and Low-Code Development
Model Engineering Specifics for Data-Intensive Systems
- Development of Domain-specific Languages (DSL)
- Model Engineering Techniques for Forward Engineering (Schema-First) and Reverse Engineering from Data and Code (Schema-on-Read)
- Design Patterns and Design Heuristics
- Modelmanagement (Interchange, Persistency, Comparison, Versioning, Co-Evolution, Quality, Verification and Testing)
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| Criteria for evaluation |
Exam and presentations of students
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| Methods |
Slide-based Lecture and student presentations (work in groups)
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| Language |
German or English, depending on the participants |
| Study material |
- M. Hitz, G. Kappel, E. Kapsammer, W. Retschitzegger, "UML@ Work", dpunkt, 2005
- M. Brambilla et al., "Model-Driven Software Engineering in Practice", Morgan & Claypool, 2012
- M. Kleppmann, “Designing Data-Intensive Applications – The Big Ideas Behind Reliable, Scalable, and Maintainable Systems”, O'Reilly, March 2017
- G. Mussbacher, et al., "A Hitchhiker's Guide to Model-Driven Engineering for Data-Centric Systems", in IEEE Software, volume 38, issue 4, pages 71-84, July 2021
- A. Moin, M. Challenger, A. Badii, S. Günnemann, "A model-driven approach to machine learning and software modeling for the IoT“, Software and Systems Modeling (2022) 21:987–1014
- A. C. Bock and U. Frank, "In Search of the Essence of Low-Code: An Exploratory Study of Seven Development Platforms“, 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), Fukuoka, Japan, 2021, pp. 57-66
- F. Melchor, R. Rodriguez-Echeverria, J.M. Conejero, Á.E. Prieto, J.D. Gutiérrez, A Model-Driven Approach for Systematic Reproducibility and Replicability of Data Science Projects, in: X. Franch, G. Poels, F. Gailly, M. Snoeck (eds), Advanced Information Systems Engineering, CAiSE 2022, Lecture Notes in Computer Science, vol 13295. Springer
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| Changing subject? |
No |
| Further information |
http://www.cis.jku.at
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| Earlier variants |
They also cover the requirements of the curriculum (from - to)
921CGELAMEK13: KV Advanced Model Engineering (2013W-2023S)
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