What are the ways to evaluate test data?

The evaluation of test data includes several approaches that help determine their quality and suitability for testing:

• Completeness analysis: checking whether the data covers all necessary scenarios and use cases.
• Correctness verification: data should meet requirements and be error-free.
• Data diversity: presence of various types, boundary values, negative and positive cases.
• Relevance: data should be current and reflect real operating conditions.
• Security and confidentiality: data should not contain sensitive information or should be anonymized.

For example, when testing a registration form, it is important to have test data with different email formats, empty fields, maximum length values, etc., to verify the handling of all cases.