Equivalence class partitioning
A set of valid input data is selected, with those data choose randomly a value. Using that value which was given as an input and the output which was expected will be verified.
Boundary value analysis
The maximum and minimum value for a range given should be calculated. max/min value will
be given as input data and the expected outcomes were verified.
Ex:
Consider number of employee in our company
Totally 80 members
Entry in the gate need to write the conditions.
For ECP
Num 1-80 valid to entry in the gate
Valid - 5 or 64 or 35 or 79
Invalid – 864 or 82 or -34 or-1
For BVA
Valid- 1 or 2 and 79 or 80
Invalid – 0 and 81
Valid -> entry in the gate
Invalid -> Not applicable.
These are the valid and invalid data to be given to calculate the ECP and BVA.
Equivalence Class Partitioning. This testing technique divides or partitions the input data into several smaller segments on which to try the test cases.STC Technologies
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