Have you configured tests with parameters to increase their flexibility?

Yes, setting up parameterized tests allows you to run the same test with different input data, which significantly increases testing flexibility and coverage. For example, in popular frameworks like pytest for Python, you can use the @pytest.mark.parametrize decorator to pass different data sets to a test function:

import pytest

@pytest.mark.parametrize("input,expected", [
    (2, 4),
    (3, 9),
    (4, 16),
])
def test_square(input, expected):
    assert input * input == expected

This approach makes it easy to add new cases without duplicating code and improves test readability.