Keyword Driven vs Data Driven Testing: Ultimate Comparison
If you've ever spent hours debugging a brittle test suite, you've probably wished there was a simpler, saner way to structure your automation. It's one of those things you only appreciate after the fifth time a tiny UI change breaks fifteen tests. That's where structured approaches like keyword-driven testing (KDT) and data-driven testing (DDT) come in. They're not silver bullets, but they sure help cut down on the chaos. And if you're working with something like aqua cloud, both approaches are right there at your fingertips. So, what's the real difference between them, and when should you use which?