Data Driven Testing (DDT)

Data-Driven Testing is a methodology where a single test script is executed multiple times using different sets of input data from external sources such as spreadsheets, databases, or JSON files. This approach improves test coverage by allowing teams to validate functionality across many input combinations without duplicating test logic. It also enhances maintainability by separating test data from test scripts, making updates easier. Commonly used with frameworks like Selenium, TestNG, JUnit, or pytest, Data-Driven Testing is especially useful for scenarios with repetitive workflows and integrates seamlessly into CI/CD pipelines.