Search for contacts, projects,
courses and publications

Software Design & Modeling

Description


COURSE OBJECTIVES

Software is built on abstractions, and the quality of those abstractions determines usability and maintainability of software. This course presents techniques and methods to understand the design of existing software, to improve it, and to write programs using the right abstractions.

 

COURSE DESCRIPTION
The main focus of the course are object-oriented design mechanisms, but with some topics targeting functional programming. After an introductory recap of object-oriented programming, the course discusses how to assess the design quality of object-oriented systems, how to identify and use so-called design patterns, how to avoid common design flaws, and how to introduce rigorous yet practical means of documenting design and functionality.

 

LEARNING METHODS
The course mainly follows a hands-on, learning-by-doing approach with assignments to be performed on open-source systems. For example, students assess the design of an open-source application, identifying shortcomings, & suggesting ways of fixing them. Java is the reference programming language.


 

EXAMINATION INFORMATION
The course's grade is entirely determined by assignments introduced during the course and corresponding to the main topics of the course.

 

REFERENCES

  • M. Fowler: Refactoring: Improving the design of existing code. Addison-Wesley Professional, 1999
  • B. Meyer: Object-oriented software construction. 2nd edition, Prentice Hall, 1997
  • M. Robillard: Introduction to software design with Java. Springer, 2019
  • B. Bruegge, A. Dutoit: Object-oriented software engineering using UML, patterns, and Java. 3rd Edition, Pearson, 2010
  • N. Fenton, J. Bieman: Software metrics: a rigorous and practical approach. 3rd edition, CRC press, 2014

People

 

Furia C. A.

Course director

Asadi S.

Assistant

Additional information

Semester
Fall
Academic year
2020-2021
ECTS
6
Language
English
Education
Master of Science in Software & Data Engineering, Core course, Lecture and Laboratory, 1st year