How do I interpret coverage metrics in software testing?
An example of an AI chatbot conversation about interpreting coverage metrics in software testing.
How do I interpret coverage metrics in software testing?
Coverage metrics help you understand how much of your code is tested. Common types include line coverage, branch coverage, and function coverage.
What is line coverage and why is it important?
Line coverage measures the percentage of executable lines of code that have been tested. It's important because it indicates which parts of your code are untested.
Can you explain branch coverage?
Branch coverage assesses whether each possible branch from a decision point in your code has been executed. It ensures that all paths are tested.
How can I improve my coverage metrics?
To improve coverage metrics, you can write more tests, focus on untested areas, and use tools that highlight coverage gaps.
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