Data-Driven Testing with External Files
What Is Data-Driven Testing?
Data-driven testing separates test logic from test data, running the same test script repeatedly against different input values pulled from an external source, rather than hard-coding values into the script itself.
Common External Data Sources
Test data is typically stored outside the code in formats that are easy to update without touching the automation logic, especially useful when non-technical team members need to contribute test cases.
- Excel/CSV - simple tabular formats, easy to edit and widely supported
- JSON - structured, hierarchical data, common in modern frameworks
- Databases - useful for large or frequently changing data sets
A Typical Data-Driven Flow
| Step | What Happens |
|---|---|
| 1. Read Data | Load test data from the external file |
| 2. Iterate | Loop through each data row/record |
| 3. Execute | Run the same test logic with the current row's data |
| 4. Report | Log pass/fail per data set, not just per test |
Benefits of This Approach
Data-driven testing dramatically increases coverage without duplicating code - adding a new test scenario often means just adding a new row of data, not writing a whole new test.
With POM and data-driven techniques in hand, let's apply them to a very common real-world scenario: automating login and registration forms.
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