What is coverage analysis in programming languages?
Coverage analysis is a technique used to measure how much of your code is executed during testing. It helps identify untested parts.
How does coverage analysis differ between languages like Python and Java?
In Python, coverage analysis can be done using tools like Coverage.py, while in Java, tools like JaCoCo are commonly used. The approach may vary based on language features.
What are the benefits of performing coverage analysis?
Benefits include identifying untested code, improving test quality, and ensuring better code reliability and maintainability.
Are there any limitations to coverage analysis?
Yes, coverage analysis doesn't guarantee bug-free code, and high coverage doesn't always mean good tests. It should be used alongside other testing practices.
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