What Is Data-Driven Testing?
Data Driven Testing is a concept in software testing that emphasizes the separation of test data from the test logic or scripts. In this approach, test scripts are designed to read test parameters and input data from external sources like databases, XML files, Excel sheets, Json files, or CSV files. This design allows a single test script to execute tests for a vast array of data sets, improving test efficiency and coverage.
The significance of DDT lies in its ability to automate and streamline the testing process, particularly in scenarios where application behavior depends heavily on varied input data. This approach is essential in validating and verifying applications that handle extensive and diverse datasets.