Hi wissam ab,
Thanks for explaining in more detail.
In a data bound test, it is not required to actually use the data from your data source. It is perfectly OK to ignore the data and just let the test run N times (once per row in the data) while not actually using the data for anything. It's just a quick and easy way of making the test run N times. All you need to do is bind the test to any data source, put N rows of any data (junk/dummy data) in the data source then let the test run. If you want to run 30 times, put 30 rows of data in your data source. It doesn't matter what the data actually is since your test isn't going to actually use it.
Does that help clear up my idea of using a data bound test?
Another idea I just thought of is to use the "Test As Step" feature. In this approach create a new test (let's call it Test A) in which is nothing but 10, 20, 30 "Test As Step" test steps calling your real test (let's call it Test B). When you run Test A it will simply call your Test B however many times you repeat the Test As Step in Test A. Did I explain that clearly?
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