How are parameters for testing based on pairwise combinations selected?
sobes.tech AI
Answer from AI
Pairwise testing involves selecting sets of parameters that cover all possible pairs of values between parameters. This means that for every possible combination of two parameters, at least one test case includes those values together.
Typically, special algorithms or tools are used to generate the minimal set of tests that cover all pairs. This significantly reduces the number of tests compared to exhaustive testing of all possible combinations, while still maintaining high interaction coverage between parameters.
For example, if there are three parameters with the following sets of values:
- A: {a1, a2}
- B: {b1, b2}
- C: {c1, c2}
Exhaustive testing would require 2×2×2=8 tests, but pairwise testing can be achieved with fewer tests, such as 4, ensuring that all pairs of values (A-B, A-C, B-C) are tested.