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As you can see, you have many topping choices available. You can choose as many or as few as you would like, and there are no guidelines surrounding the maximum number of toppings you can add (though it may get a bit pricey in reality). When facing a situation like this, the first test design strategy that occurs to many test designers is to create a single parameter called “Pizza Toppings” in Test Case Designer and list each of the 24 available toppings as Values, as shown below.
Avoid that Common Mistake. Do not list all of those values in single parameter!
While this approach seems natural, this test design strategy would have two major disadvantages. The first problem is That every :
- Every generated test scenario using this test design approach would have one and only one pizza topping. The system in its current design would only have test scenarios for pizzas with pepperoni OR sausage OR bell peppers. In reality, a user might actually order a pizza with pepperoni AND sausage AND bell peppers.
- The
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- number of 2-way tests generated would be unnecessarily large. This is because each of the 24 toppings would need to appear together with every other value in the model. This would result in at least 98 test scenarios. There would be 24 test scenarios involving small-sized pizzas (one with each pizza topping), 24 more tests with medium-sized single-topping pizzas, 24 more tests with large-sized single-topping pizzas, and 24 more tests with extra large single-topping pizzas.
Therefore, we need to account for pizzas that contain more than one topping in our tests. We’d also like to reduce the number of tests in our 2-way test set.
How do we accomplish these goals? While there are multiple strategies you could employ to ensure that pizzas with multiple toppings to appear in your tests, let’s start with the most basic and widely-applicable solution.
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If you accept the 3:1 weighting of the parameters, great! Execute your tests and be merry! But if you are trying to ensure that each test contains an even more realistic average number of toppings and are comfortable with increasing the quantity of tests, you can further adjust the weighting ratio.
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| Increasing the ratio to 7:1 of “No” to “Yes” increases the number of tests from 26 to 91, but leads to an average of less than 3 toppings per pizza. You can continue to adjust the ratio of “No” to “Yes” to fit your exact needs. |
In a similar vein of thinking, you can adjust the weighting of each individual topping based on the frequency it will actually appear on a pizza. Obviously customers will choose Pepperoni as a topping more than they would order Hot Sauce, so it might makes sense to weight these toppings differently. For instance, you could apply a 2:1 ratio of “No” to “Yes” for Pepperoni, while increasing the ratio to 4:1 of “No” to “Yes” for Hot Sauce. This would result in the most repeatedly ordered toppings appearing more frequently in your tests without drastically increasing the total number of tests.
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