Here’s the difference between single and multiple fault assumption.
| Single fault assumption | multiple fault assumption |
|---|---|
| Single fault assumption describes that two or more simultaneous faults are hardly responsible for the failure | Multiple fault assumption defines two or more simultaneous faults can be the reason for failure |
| In this, only single variable is set to its extreme value and letting others to their nominal values | In this, more than one variable is assigned with extreme values |
| For example, Normal Boundary Value testing | For example, Worst-Case Boundary Value Testing |
It is a functional testing technique. In this, we choose boundary values or conditions where the chances of getting errors are high, These boundary values are the input values which can be:
This post was last modified on September 20, 2022