Test Data Management

Test Data Management

Test Data Management (TDM) is the process of managing and controlling the data that is used for software testing purposes. It involves creating, modifying, and managing test data to ensure that it accurately reflects the real-world data that the software will encounter in its actual usage.

Here are some key points to know about Test Data Management:

1. Data Requirements: The first step in Test Data Management is to identify the data requirements for the testing process. The testing team needs to ensure that the data they use reflects the real-world scenarios that the software will encounter in production.
2. Data generation: Test data can be generated manually or automatically. Manual generation involves creating test data by hand, while automatic generation involves using software tools to generate test data automatically.
3. Data masking: Data masking is the process of modifying sensitive data to protect confidential information, such as social security numbers, credit card numbers, or other personally identifiable information. Masking ensures that test data is anonymized and does not violate privacy regulations.
4. Data Subsetting: In large applications or databases, it may not be feasible to use the entire dataset for testing purposes. Data subsetting is the process of selecting a subset of data for testing purposes. The subset of data should be representative of the entire dataset.
5. Data Refreshing: Over time, the data used for testing purposes may become stale or outdated. Data refreshing is the process of replacing old test data with new data to ensure that the testing environment accurately reflects the current production environment.

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