What are the differences between parameterized and data-driven tests?
An example of an AI chatbot conversation about differences between parameterized and data-driven tests.
What are the differences between parameterized and data-driven tests?
Parameterized tests allow you to run the same test with different inputs, while data-driven tests use external data sources.
Can you give me an example of each?
Sure! In a parameterized test, you might test a function with various inputs directly in the code. In a data-driven test, you would pull inputs from a CSV file or database.
Which one is better for large test suites?
Data-driven tests are often better for large test suites as they can handle more data variations without duplicating code.
Are there any performance differences between the two?
Yes, data-driven tests may have a slight overhead due to data retrieval, but they can be more efficient in managing large datasets.
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