DVA448 - Regression Test Selection and Software Fault Prediction, 2.5 credits (1.7 "old credits")

The course consists of two parts: For the regression test selection part, the purpose is to enable participants get an in-depth understanding of techniques for selecting test cases that should be executed following changes to the software under test. For the software fault prediction part, the purpose is to use software fault prediction models as a way to provide quality estimates using measurements from design and testing processes.

The course will further discuss methodology of building simple software fault prediction models and highlight its use.


Learning outcomes

On completion of the course, students will be able to:

Related industrial challenges addressed in the course:

Offical syllabus at MDH or at PROMPT.

Tillbaka till: Per Erik Strandberg
Tillbaka till: Per Erik Strandbergs kurser
Tillbaka en sida.