Why data-driven tests increase coverage in Selenium Python - Quick Recap

Recall & Review

beginner

What is a data-driven test?

A data-driven test runs the same test steps multiple times with different input data. This helps check many cases without writing separate tests for each.

beginner

How do data-driven tests increase test coverage?

They test many input values and scenarios by reusing the same test logic, catching more bugs and covering more code paths.

intermediate

Why is reusing test logic important in data-driven testing?

Reusing test logic saves time and effort. It lets testers focus on adding new data to cover more cases instead of writing new tests.

beginner

Give an example of data used in data-driven tests.

Examples include different usernames and passwords, various form inputs, or multiple search terms to test how the app handles each.

intermediate

What is a common tool or method to implement data-driven tests in Selenium with Python?

Using parameterization with frameworks like pytest, or reading test data from files like CSV or Excel to feed into tests.

What is the main benefit of data-driven testing?

A It removes the need for assertions.

B It allows testing many input cases with one test script.

C It reduces the number of test cases to one.

D It only tests the user interface.

Data-driven testing runs the same test with many inputs, increasing coverage efficiently.

Which of these is NOT a typical source of test data for data-driven tests?

A CSV files

B Excel spreadsheets

C Hardcoded values inside the test

D Random guesses without structure

Test data should be structured and planned, not random guesses.

How does data-driven testing affect test maintenance?

A It simplifies maintenance by reusing test logic.

B It makes maintenance harder because of many test scripts.

C It removes the need to update tests.

D It requires rewriting tests for each data change.

Reusing test logic means fewer scripts to update, easing maintenance.

In Selenium with Python, which framework feature helps implement data-driven tests?

A pytest parametrize decorator

B JavaScript event listeners

C CSS selectors

D HTML forms

pytest's parametrize decorator allows running tests with multiple data sets.

What does increased test coverage mean in data-driven testing?

A Only testing happy paths.

B Running fewer tests overall.

C Testing more code paths and input scenarios.

D Skipping edge cases.

Data-driven tests cover more scenarios, increasing coverage.

Explain how data-driven testing helps find more bugs compared to single-input tests.

Think about testing many cases with one test script.

Describe how you would set up a data-driven test in Selenium with Python.

Consider using pytest and external files for data.