Distinguish between single and multiple fault assumption

Here’s the difference between single and multiple fault assumption.

 

Single fault assumptionmultiple fault assumption
Single fault assumption describes that two or more simultaneous faults are hardly responsible for the failureMultiple 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 valuesIn this, more than one variable is assigned with extreme values
For example, Normal Boundary Value testingFor example, Worst-Case Boundary Value Testing

What is 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:

  • minimum ( lying on the boundary)
  • maximum (lying on the boundary)
  • Just below from maximum ( below the boundary)
  • Just above to minimum (above the boundary)
  • At nominal

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