Teaching domain testing: a status report

Abstract

Domain testing is a stratified sampling strategy for choosing a few test cases from the near infinity of candidate test cases. The strategy goes under several names, such as equivalence partitioning, boundary analysis, and category partitioning. We describe a risk-focused interpretation of domain testing and some results (experiential and experimental) of helping students learn this approach.