ECTS - Model Driven Software Development

Model Driven Software Development (SE555) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Model Driven Software Development SE555 3 0 0 3 5
Pre-requisite Course(s)
Course Language English
Course Type N/A
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives This course will introduce model driven software development (MDD) principles, methodologies, and tools. The course will cover both practical and theoretical aspects. Students will develop a small scale metamodeling or MDD project.
Course Learning Outcomes The students who succeeded in this course;
  • explain the principles and methods of model driven development
  • develop metamodels for domain specific modeling languages
  • define metamodel based model transformations
  • identify the advantages of software reusability
  • discuss about automatic code generation
  • use a metamodeling tool
Course Content Introduction to MDD; modeling languages; software reusability; domain specific modeling; metamodeling; model transformations; metamodeling tools; code generation; MOF (meta object facility); software components.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to model driven development Chapters 1-2 (main text)
2 Software quality and reusability Other source (research papers)
3 Domain specific modeling Reference book 2
4 Modeling languages Reference book 3
5 Metamodeling Chapter 6 (main text), Reference book 3
6 UML Profiling Chapter 6 (main text)
7 Model transformations Chapter 10 (main text)
8 Metamodeling environments Reference books, research papers
9 Code generation Chapter 9 (main text)
10 Platform independence Reference books, research papers
11 Software components, building blocks Other source (research papers)
12 Object constraint language (OCL) Reference books, research papers
13 Best practices, applications Reference books, research papers
14 Student presentations
15 Student presentations
16 Final Exam


Course Book 1. 1. Thomas Stahl, Markus Voelter, Krzysztof Czarnecki, 2006. “Model-Driven Software Development: Technology, Engineering, Management”, Wiley.
2. 2. Markus Voelter, 2013. “DSL Engineering: Designing, Implementing and Using Domain-Specific Languages”, .
3. 3. Cesar Gonzalez-Perez, Brian Henderson-Sellers, 2008. “Metamodelling for Software Engineering”, John Wiley & Sons.
4. 4. Fernando S. Parreiras, 2012. “Semantic Web and Model-Driven Engineering”, Wiley-IEEE Press.
5. 5. Dragan Gasevic, 2010. “Model driven engineering and ontology development”, Springer.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 1 15
Presentation 1 10
Project 1 20
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 20
Final Exam/Final Jury 1 35
Toplam 5 100
Percentage of Semester Work
Percentage of Final Work 100
Total 100

Course Category

Core Courses
Major Area Courses X
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 An ability to apply knowledge of mathematics, science, and engineering. X
2 An ability to design and conduct experiments, as well as to analyze and interpret data. X
3 An ability to design a system, component, or process to meet desired needs. X
4 An ability to function on multi-disciplinary domains. X
5 An ability to identify, formulate, and solve engineering problems.
6 An understanding of professional and ethical responsibility.
7 An ability to communicate effectively.
8 Recognition of the need for, and an ability to engage in life-long learning.
9 A knowledge of contemporary issues. X
10 An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice. X
11 Skills in project management and recognition of international standards and methodologies X
12 An ability to produce engineering products or prototypes that solve real-life problems. X
13 Skills that contribute to professional knowledge.
14 An ability to make methodological scientific research.
15 An ability to produce, report and present an original or known scientific body of knowledge.
16 An ability to defend an originally produced idea.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours)
Special Course Internship
Field Work
Study Hours Out of Class 16 4 64
Presentation/Seminar Prepration 1 5 5
Project 1 45 45
Homework Assignments 1 20 20
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 16 16
Prepration of Final Exams/Final Jury 1 30 30
Total Workload 180