Software Architecture
People
Course director
Assistant
Description
COURSE OBJECTIVES
This class teaches the students to structure complex and large software systems using software components, containers, services and connectors while keeping track of the rationale behind their design decisions with architectural decision records.
COURSE DESCRIPTION
Architecture is not only necessary as the global blueprint to manage the complexity of large software systems, but should also be seen as the focus of the main design decisions influencing the quality attributes of the resulting system. Content: Quality Attributes, Descriptive vs. Prescriptive Architecture, Architectural Modeling, Architectural Styles and Patterns, Modularity and Components, Reusability and Interfaces, Composability and Connectors, Compatibility and Coupling, Deployability, Portability and Containers, Availability, Scalability and Services, Flexibility and Microservices
LEARNING METHODS
Following a flipped class method, it features a mix of theoretical lectures with weekly modeling assignments, design workshops and technology demonstrations presented by the students.
EXAMINATION INFORMATION
Written if onsite, oral if online
PREREQUISITES
- Software Design & Modeling
REFERENCES
- C. Pautasso, Software Architecture: visual lecture notes, Leanpub, 2021 (textbook)
- G. Fairbanks, Just Enough Software Architecture: A Risk-Driven Approach, Marshall & Brainerd, August 2010.
- R. N. Taylor, N. Medvidovic, E. M. Dashofy, Software Architecture: Foundations, Theory, and Practice, Wiley, January 2009
- Michael Keeling, Design It! From Programmer to Software Architect, Pragmatic Bookshelf, 2017
- Martin Fowler, Patterns of Enterprise Application Architecture, Addison Wesley, 2002
- Luke Hohmann, Beyond Software Architecture: Creating and Sustaining Winning Solutions, Addison-Wesley, 2003
- Mary Shaw and David Garlan, Software Architecture: Pespectives on an Emerging Discipline, Prentice-Hall, 1996
Education
- Master of Science in Financial Technology and Computing, Elective course, 2nd year
- Master of Science in Informatics, Elective course, 1st year
- Master of Science in Informatics, Elective course, 2nd year
- Master of Science in Software & Data Engineering, Foundation course, 1st year
- PhD programme of the Faculty of Informatics, Elective course, Lecture, 1st year (4 ECTS)
- PhD programme of the Faculty of Informatics, Elective course, Lecture, 2nd year (4 ECTS)