What is code coverage analysis and why is it important?
Code coverage analysis measures how much of your code is tested by automated tests. It's important because it helps identify untested parts of your code, ensuring better quality and reliability.
How do I implement code coverage analysis in my project?
You can implement code coverage analysis using tools like JaCoCo for Java, Istanbul for JavaScript, or Coverage.py for Python. These tools integrate with your testing framework to provide coverage reports.
What are the different types of code coverage metrics?
The main types of code coverage metrics include line coverage, branch coverage, function coverage, and statement coverage. Each metric provides insights into different aspects of your code's test coverage.
Can high code coverage guarantee bug-free code?
No, high code coverage does not guarantee bug-free code. It indicates that tests are present, but they may not cover all edge cases or logical errors.
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