Quality assurance – The applied science of software testing

This course provides an understanding of the fundamental problems in software testing, as well as solid foundation in the practical methods and tools for a systematic state-of-the-art approach to testing of software.

About the course

  1. Introduction to software testing and test design
  2. Unit testing, test design and automation
  3. Testing at integration and system level
  4. Static and dynamic analysis
  5. Advanced test design

Learning outcomes

After the course, the participants are expected to:
  • understand the fundamental goals, challenges and limitations of software testing, and its relation to other software engineering activities, such as requirements engineering, design and implementation.
  • have a working knowledge and experience in applying the major established test design techniques.
  • have a working knowledge and experience in static and dynamic code analysis.
  • have an overview knowledge in more advanced testing methods (such as model-based testing, mutation testing and search-based testing), and in the state-of-the-art in software testing research.

Related industrial challenges addressed in the course

  • Finding problems earlier in the development process and integration chain.
  • Avoiding quality deficiency costs.
  • Evaluating the quality of software and systems, and knowing when to release.
  • Understanding problems and gaps in the development process for continuous improvement.

Course Syllabus

For Course Syllabus use course code DVA464 in the  search field

Teacher

Adnan Causevic,  Senior Lecturer (Assistant Professor

+46 21 10 70 59

adnan.causevic@mdh.se

 

Prompt

The course is included in the Prompt project, which is partly funded by the Knowledge Foundation. You can find more information about Prompt here .