📖 What is Data-Driven Testing?
Data-Driven Testing is a scripting technique that stores test inputs and expected results in an external data source, such as a spreadsheet or database. A single test script iterates through this data to execute the same scenario with multiple values.
"This is a classic exam topic. If a question asks how to test a login page with 50 different user/password combinations efficiently, Data-Driven Testing is your answer."
📚 Certification: Certified Tester Foundation Level (CTFL-v4.0)
🔑 What are the Key Concepts of Data-Driven Testing?
- ▸ Separation of test data from the test script logic.
- ▸ Allows one script to execute multiple test iterations using different data sets.
- ▸ Improves test coverage and reduces script maintenance.
🎯 How does Data-Driven Testing appear on the CTFL-v4.0 Exam?
A question about how to efficiently test an application that requires validating hundreds of different input combinations.
Identifying the technique where test values are read from a CSV file during execution.
❓ Frequently Asked Questions
What are the main benefits of data-driven testing?
It significantly reduces the amount of code needed, makes it easy to add new test cases just by updating a spreadsheet, and separates test logic from data.
Do you need programming skills for data-driven testing?
Setting up the initial framework and script requires programming skills, but adding new test data often does not.