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)
N/A
Course Language English
Course Type Software Engineering 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 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;
  • This course is a project based course. The first part of the course will consist of structured lectures. The second part of the course will involve reading current literature on related topics. Students will be responsible for leading presentations. This includes creating supplementary overheads to lead the discussion. Each student will participate in a group project during the course of the semester. They will be expected to become familiar with a particular body of research beyond the classroom lectures. Students will submit a written report, and give an oral presentation of their findings.
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
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.
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
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 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
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