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 Taken From Other Departments
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

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
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 To be able to use mathematics, science and engineering knowledge in solving engineering problems related to information systems. X
2 Design and conduct experiments in the field of informatics, analyze and interpret the results of experiments. X
3 Designs an information system, component and process according to the specified requirements. X
4 Can work effectively in disciplinary and multidisciplinary teams. X
5 Identify, formulate and solve engineering problems in the field of informatics.
6 Acts in accordance with professional ethical rules.
7 Communicates effectively both orally and in writing.
8 Gains awareness of the necessity of lifelong learning.
9 Learn about contemporary issues. X
10 To be able to use modern engineering tools, techniques and skills required for engineering practice. X
11 Knows project management methods and recognizes international standards. X
12 Develop informatics-related engineering products and prototypes for real-life problems. X
13 Contributes to professional knowledge.
14 Can do methodological scientific research.
15 Produce, report and present a scientific work based on an original or existing body of knowledge.
16 Can defend the original idea generated.

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