Why coverage measures test completeness in PyTest - Quick Recap

Recall & Review

beginner

What does test coverage measure in software testing?

Test coverage measures how much of the code is executed by the tests. It shows which parts of the code have been tested and which parts have not.

beginner

Why is high test coverage important?

High test coverage means more code is tested, reducing the chance of bugs. It helps ensure the software works as expected in many situations.

intermediate

Can 100% test coverage guarantee bug-free software?

No, 100% coverage means all code lines run during tests, but it does not guarantee all bugs are found. Tests must also check for correct behavior.

beginner

How does pytest help measure test coverage?

Pytest can be combined with coverage.py to track which lines of code run during tests. It generates reports showing coverage percentage and uncovered code.

beginner

What is a practical way to improve test coverage?

Add tests for parts of the code that are not covered yet. Focus on important or complex code to catch more bugs and improve software quality.

What does test coverage show?

A How fast tests run

B How many bugs are in the code

C Which parts of code are executed by tests

D How many users use the software

Test coverage shows which parts of the code are run during testing, helping measure test completeness.

Which tool can be used with pytest to measure coverage?

A Docker

B Selenium

C Jenkins

D coverage.py

coverage.py is a tool that tracks code execution during tests and works well with pytest.

Does 100% test coverage mean no bugs remain?

A No, tests must also check correctness

B No, coverage measures test speed

C Yes, coverage tests all user cases

D Yes, all bugs are found

Even with full coverage, tests must verify correct behavior to find bugs.

Why improve test coverage?

A To make tests run slower

B To reduce untested code and catch more bugs

C To increase software size

D To avoid writing tests

Improving coverage reduces untested code, helping find bugs and improve quality.

What does low test coverage indicate?

A Many code parts are not tested

B Tests are very fast

C Software is bug-free

D All tests passed

Low coverage means many code lines are not executed by tests, risking undetected bugs.

Explain why test coverage is a useful measure of test completeness.

Think about how coverage relates to code execution and test thoroughness.

Describe how pytest and coverage.py work together to measure test coverage.

Consider the roles of both tools in testing and reporting.