Mastering Data-Driven Testing in Selenium with Java
1. What is Data-Driven Testing?
Data-driven testing (DDT) is a test automation approach where test data is separated from test scripts. Instead of hardcoding values into the test scripts, the test data is stored in external sources such as:
- Excel files (
.xlsx
) - CSV files
- Databases (SQL, MongoDB, etc.)
- JSON or XML files
- Property files
This approach allows reusability, scalability, and better maintenance.
2. Setting Up Data-Driven Testing in Selenium with Java
To perform DDT in Selenium with Java, you need the following dependencies:
Required Libraries
- Selenium WebDriver - For automating web applications.
- Apache POI (for Excel) - If using Excel files.
- Jackson / Gson (for JSON) - If using JSON.
- TestNG or JUnit - For running parameterized tests.
Maven Dependencies
Add these to pom.xml
if you're using Maven:
3. Implementing Data-Driven Testing in Selenium with Java
A. Data-Driven Testing using Excel (Apache POI)
Steps to follow:
- Read test data from an Excel file (
.xlsx
). - Use a utility method to fetch data from Excel.
- Pass data dynamically to test cases.
Utility Class for Reading Excel File
Selenium Test with Data from Excel
B. Data-Driven Testing using JSON (Jackson Library)
- Store test data in a JSON file.
- Read data using Jackson.
- Pass it to the test.
Sample JSON File (data.json
)
Utility Class for Reading JSON
Selenium Test Using JSON Data
4. Best Practices for Data-Driven Testing
✅ Keep test data separate from scripts - Store data in external sources (Excel, JSON, etc.).
✅ Use Data Providers in TestNG - Makes tests reusable.
✅ Implement Utility Classes - Write reusable methods for reading different data sources.
✅ Use Logging - Use Log4j
for debugging and logging test execution details.
✅ Handle Exceptions Properly - Always handle file exceptions (IOException
, FileNotFoundException
).
✅ Avoid Hardcoded File Paths - Use System.getProperty("user.dir")
to get dynamic paths.
5. Conclusion
- Excel + Apache POI: Best for structured tabular test data.
- JSON + Jackson: Best for API testing and dynamic datasets.
- TestNG DataProvider: Efficient way to run data-driven tests.
- Database-Driven: Best for real-time data testing (SQL/MongoDB).
Would you like help integrating a database-driven approach or handling CSV/XML files as well? 🚀