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) |
|---|
| N/A |
| 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 Lecturer(s) |
|
| 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;
|
| 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 | An ability to apply advanced knowledge of computing and/or informatics to solve software engineering problems. | X | ||||
| 2 | Develop solutions using different technologies, software architectures and life-cycle approaches. | X | ||||
| 3 | An ability to design, implement and evaluate a software system, component, process or program by using modern techniques and engineering tools required for software engineering practices. | X | ||||
| 4 | An ability to gather/acquire, analyze, interpret data and make decisions to understand software requirements. | X | ||||
| 5 | Skills of effective oral and written communication and critical thinking about a wide range of issues arising in the context of working constructively on software projects. | X | ||||
| 6 | An ability to access information in order to follow recent developments in science and technology and to perform scientific research or implement a project in the software engineering domain. | X | ||||
| 7 | An understanding of professional, legal, ethical and social issues and responsibilities related to Software Engineering. | |||||
| 8 | Skills in project and risk management, awareness about importance of entrepreneurship, innovation and long-term development, and recognition of international standards of excellence for software engineering practices standards and methodologies. | X | ||||
| 9 | An understanding about the impact of Software Engineering solutions in a global, environmental, societal and legal context while making decisions. | |||||
| 10 | Promote the development, adoption and sustained use of standards of excellence for software engineering practices. | X | ||||
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 | ||