Top 5 Considerations For A Strong Test Data Management
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<strong>Test</strong> only relevant data:<br />
Sometimes unplanned trips work out the best, but risks are involved. The same way, testing all<br />
the data, has pros and cons both. This is because, while testing all the data, you do not have the<br />
exact idea of the scenario in which that particular test data should be tested. This procedure<br />
consumes a lot of time and money.<br />
On the other hand, when you create a testing process where you jot down the test cases and<br />
the need for the environment, it becomes much easy. <strong>For</strong> example, if you are validating the<br />
login page, you know the scenario of which information would be specifically needed to<br />
confirm the same. When you keep iterating, you will be able to find more bugs, and you will<br />
need more real data. Hence, start with a small set of test data, and then gradually proceed<br />
towards complex ones.
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