Special topics of software engineering
level of course unit
second cycle, Master
Learning outcomes of course unit
The following learning outcomes are developed in the course:
- Building on the fundamentals of software engineering, students have in-depth knowledge of selected topics related to the development and evolution of software systems.
- Students know advanced methods of requirements analysis and are able to apply them efficiently
- Students have sound knowledge in the detailed design of software systems using design patterns.
- The students know procedures for the automation and support of large software systems.
prerequisites and co-requisites
Students bring the following requirements to the course:
- Students understand the basics of software engineering.
- Students understand object-oriented design using UML.
- Students understand Java, inheritance and polymorphism.
course contents
Further and advanced topics in the field of software engineering are taught in this course. This includes the following focal points: In-depth topics in the fields of requirements analysis (e.g. SOPHIST rules, goal modelling) and design (e.g. design patterns, design principles); in-depth knowledge of agile development methods; procedures in the development of extensible software systems; automation in the development of large software systems (e.g. unit tests, continuous integration and DevOps).
recommended or required reading
- Sommerville: Software Engineering, 10., aktualisierte Auflage, PEARSON, 2018.
- B. Brügge, A. H. Dutoit: Objektorientierte Softwaretechnik mit UML, Entwurfsmustern und Java, PEARSON, 2004.
- Rupp, Chris & die Sophisten: Requirements-Engineering und -Management, Hanser, 6. Auflage (2014)
- Van Lamsweerde, Axel: Requirements Engineering, Wiley (2009)
assessment methods and criteria
Written exam
language of instruction
German
number of ECTS credits allocated
6
eLearning quota in percent
17
course-hours-per-week (chw)
3
planned learning activities and teaching methods
Lecture, quiz, presentation and discussion of task solutions
semester/trimester when the course unit is delivered
1
name of lecturer(s)
Prof. Dr. Georg Hagel
year of study
1
recommended optional program components
not applicable
course unit code
SE.2
type of course unit
integrated lecture
mode of delivery
Compulsory
work placement(s)
not applicable