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 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Ph.D.
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

Sources

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 X
Major Area Courses
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 Comprehends the most advanced technology and literature in the field of software engineering research. X
2 Gains the ability to conduct world-class research in software engineering and publish scholarly articles in top conferences and journals in the area.
3 Conducts quantitative and qualitative studies in software engineering. X
4 Develops and applies software engineering approaches to acquire the necessary skills to bridge the gap between academia and industry in the field of software engineering and to solve real-world problems.
5 Gains the ability to access the necessary information to follow current developments in science and technology, and to conduct scientific research or develop projects in the field of software engineering.
6 Gains awareness and a sense of responsibility regarding professional, legal, ethical, and social issues in the field of software engineering.
7 Acquires project and risk management skills; gains awareness of the importance of entrepreneurship, innovation, and sustainable development; adapts international excellence standards for software engineering practices and methodologies.
8 Gains awareness of the universal, environmental, social, and legal consequences of software engineering practices when making decisions.
9 Develops, adopts, and supports the sustainable use of excellence standards for software engineering practices.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours)
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 4 64
Presentation/Seminar Prepration 1 5 5
Project 1 45 45
Report
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