Test and Decision Theory

In industrial reality, risk is typically assessed by estimating probabilities and consequences. This approach provides only raw data, but does not offer any strategy for decision making. Software testing practitioners are commonly confronted with two decision-making situations: what to test and whether to continue testing. A branch of statistics called decision theory provides a number of concepts and methods that can be used to make better decisions in a structured and controlled way.