Course syllabus - Model-Driven Engineering

Objectives

Model-Driven Engineering is a technique aiming at reducing the complexity of development and management of modern software applications through the exploitation of models. Even it is a young methodology, it is gaining more and more interest from the industry, which considers it as a possible solution for the ever growing quality factors, notably time-to-market, performances, and maintainability. The aim of the course is to give an in-depth knowledge in the fundamentals of software systems modeling and the automated generation of the implementation, with special focus on the management of evolution. The student will be made aware of both the state of art in research and state of practice in industry.

Learning outcomes

Upon fulfilling the course, the student should be able to:
- To understand the possibilities and limitations of Model-Driven Engineering for the automated generation of software applications
- To evaluate scenarios and apply appropriate software modeling techniques in development projects
- To analyze evolution pressures and foresee possible issues in the management of the application lifecycle

Course content

The focus of this course will be on Model-Driven Engineering. The basics on software modeling technologies will be provided together with the issues related to the automated derivations of corresponding artifacts (models, code, documentation) and evolution management.
The course includes:
- Introduction to Software Engineering and Modeling
- Model-Based Development, Model-Driven Engineering, Model-Driven Architecture
- UML, Modeling languages, Metamodeling, Profiling, Action languages, Domain-Specific Languages
- Model transformations, classification of model transformations
- Model weaving and higher-order transformations
- Evolution management in Model-Driven Engineering
- Model versioning (difference calculation and representation), conflicts
- Model synchronization, incremental and change propagating transformations
- Metamodel evolution and model co-evolution
- Other relevant cases of coupled evolution (grammars, XMLs and document formats, data schema)
The contents will reflect the latest research topics as well as industrial practices. Guest lectures by both academy and industrial experts will be the highlight of this course.

Tuition

Lectures and exercises. The course is given in English.

Specific requirements

At least 120 ECTS credits where at least 60 ECTS credits are in computer science. Basic knowledge in software engineering 7,5 ECTS credits. In addition Swedish course B/Swedish course 2 and English course A/English course 5 are required. For courses given entirely in English exemption is made from the requirement in Swedish course B/Swedish course 2.

Examination

Exercise (INL1), assignments/reports (individual), 5 credits, marks 3, 4 or 5
Seminar (SEM1), project presentations (groups), 2,5 credits, marks Pass (G)

A student who has a certificate from MDU regarding a disability has the opportunity to submit a request for supportive measures during written examinations or other forms of examination, in accordance with the Rules and Regulations for Examinations at First-cycle and Second-cycle Level at Mälardalen University (2020/1655). It is the examiner who takes decisions on any supportive measures, based on what kind of certificate is issued, and in that case which measures are to be applied.

Suspicions of attempting to deceive in examinations (cheating) are reported to the Vice-Chancellor, in accordance with the Higher Education Ordinance, and are examined by the University’s Disciplinary Board. If the Disciplinary Board considers the student to be guilty of a disciplinary offence, the Board will take a decision on disciplinary action, which will be a warning or suspension.

Grade

Pass with distinction, Pass with credit, Pass, Fail