Common Pitfalls in Data-Driven Testing And How To Avoid Them
Scalability challenges arise when a test suite designed for small datasets struggles to handle large volumes of test data.

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.

 

Common Pitfalls in Data-Driven Testing And How To Avoid Them
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