ECTS - Advanced Software Architecture
Advanced Software Architecture (SE658) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
---|---|---|---|---|---|---|---|
Advanced Software Architecture | SE658 | Area Elective | 3 | 0 | 0 | 3 | 5 |
Pre-requisite Course(s) |
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N/A |
Course Language | English |
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Course Type | Software Engineering Elective Courses |
Course Level | Ph.D. |
Mode of Delivery | Face To Face |
Learning and Teaching Strategies | Lecture. |
Course Lecturer(s) |
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Course Objectives | Proper software and system architecting is instrumental for ensuring that software-reliant systems achieve their business and mission goals, and satisfy required quality attributes, e.g., performance, security, safety etc. To this end, sound architecture principles and methods support developing, analyzing, and evolving systems. For a certain class of systems, it is of outmost importance that the quality attribute requirements are satisfied as severe, or even catastrophic, consequences would result otherwise, e.g., safety-critical systems. Architectural modeling, verification, validation, and evaluation have shown to be effective means to significantly increase the overall quality of the system, often significantly reducing the number of defects flowing downstream to later development phases (late detection and removal of defects cost orders of magnitude more compared to early detection of defects). Software Architecture is the discipline of designing and specifying software systems. As we move towards larger and larger (or ultra large scale) systems, having well-designed architecture and system models will be an essential element for producing software that is of high quality and feasible to maintain. Several recent trends such as the adoption of software product line engineering (SPLE) by many sectors of industry, and a move towards designing self-adaptive software that can respond to environmental changes, indicate that software architecture is becoming a more and more important part of the software process. In this course, students will study software architecture with a focus on software validation techniques that leverage architectural models. Students will learn an architectural description language, will be exposed to feature modeling for SPLE, and learn about self-adaptive software. The course will consist of some individual homework assignments, paper reviews and presentations and as well as a term project. |
Course Learning Outcomes |
The students who succeeded in this course;
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Course Content | Introduction and overview of software architecture; architectural models; software product lines and configurable software; self-adaptive software; architectural description languages; feature modeling; architecture and model-based testing. |
Weekly Subjects and Releated Preparation Studies
Week | Subjects | Preparation |
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1 | Introduction and Overview of Software Architecture | Ch.2,3 (main text) |
2 | Architectural Modellling | Ch.6 |
3 | Analysis | Ch.8 |
4 | Implementation | Ch.9 |
5 | Deployment and Mobility | Ch.10 |
6 | Applied Architecture and Styles | Ch.11 |
7 | Desiging for Non-Functional Properties | Ch. 12 |
8 | Desiging for Non-Functional Properties | Ch. 12 |
9 | Security and Trust | Ch13 |
10 | Architectural Adaptation | Ch.14 |
11 | Domain Specific Software Engineering | Ch.15 |
12 | Standards | Ch.16 |
13 | People, Roles, and Teams | Ch.17 |
14 | Project Presentation |
Sources
Course Book | 1. R. Taylor, N. Medvidović and E.M. Dashofy, Software Architecture : Foundations, Theory, and Practice, John Wiley, 2010. |
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Other Sources | 2. P. Clements and L. Northrup, Software Product Lines: Practices and Patterns, Addison-Wesley, 2002. (Reference book) |
Evaluation System
Requirements | Number | Percentage of Grade |
---|---|---|
Attendance/Participation | 1 | 5 |
Laboratory | - | - |
Application | - | - |
Field Work | - | - |
Special Course Internship | - | - |
Quizzes/Studio Critics | - | - |
Homework Assignments | 2 | 10 |
Presentation | - | - |
Project | 1 | 20 |
Report | - | - |
Seminar | 1 | 10 |
Midterms Exams/Midterms Jury | 1 | 20 |
Final Exam/Final Jury | 1 | 40 |
Toplam | 7 | 105 |
Percentage of Semester Work | |
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Percentage of Final Work | 100 |
Total | 100 |
Course Category
Core Courses | |
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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 | ||||
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1 | 2 | 3 | 4 | 5 | ||
1 | To become familiar with the state-of-the art and the literature in the software engineering research domain | X | ||||
2 | An ability to conduct world-class research in software engineering and publish scholarly articles in top conferences and journals in the area | X | ||||
3 | Be able to conduct quantitative and qualitative studies in software engineering | X | ||||
4 | Acquire skills needed to bridge software engineering academia and industry and to develop and apply scientific software engineering approaches to solve real-world problems | X | ||||
5 | 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 | ||||
6 | An understanding of professional, legal, ethical and social issues and responsibilities related to Software Engineering. | X | ||||
7 | 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 | ||||
8 | An understanding about the impact of Software Engineering solutions in a global, environmental, societal and legal context while making decisions. | X | ||||
9 | 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 |
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Course Hours (Including Exam Week: 16 x Total Hours) | |||
Laboratory | |||
Application | |||
Special Course Internship | |||
Field Work | |||
Study Hours Out of Class | 16 | 5 | 80 |
Presentation/Seminar Prepration | |||
Project | |||
Report | |||
Homework Assignments | 4 | 12 | 48 |
Quizzes/Studio Critics | |||
Prepration of Midterm Exams/Midterm Jury | 1 | 20 | 20 |
Prepration of Final Exams/Final Jury | 1 | 30 | 30 |
Total Workload | 178 |