Common Pitfalls in Data-Driven Testing And How To Avoid Them
Data-driven testing is an effective way to improve test coverage and automation efficiency. The concept is brilliant – Instead of writing a new test for each piece of data, use one test and change the data.
However, while the approach is brilliant, there is some thought to be had about certain pitfalls in data-driven testing. Why? Because the outcomes of your test heavily depend on the data you’ve collected.