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High coverage does not mean good code quality. Coverage only measures the amount of code executed but does not guarantee: code correctness because it does not check whether the execution results are correct. Error handling as it may not detect exceptions and errors. Edge cases as it may not cover all possible inputs or boundary conditions.
#Does high coverage mean good code quality?
Code coverage is an important metric that measures how much code a test has executed. However, it is not always a reliable indicator of code quality.
Coverage and Code Quality
High coverage means that the test executes a lot of code, which is important. However, it does not guarantee:
Practical case
Consider a function that calculates the average:
def compute_average(numbers): total = 0 for number in numbers: total += number return total / len(numbers)
The test can achieve 100% coverage, but ifnumbers
is an empty list, the function will raise a ZeroDivisionError
exception. This shows that high coverage does not guarantee correctness.
Best Practices
To evaluate code quality, in addition to coverage, the following factors should be considered:
Conclusion
Coverage is a useful metric, but it is not sufficient to evaluate code quality. By combining it with other methods, such as unit testing depth and code reviews, developers can ensure the creation of high-quality, reliable code.
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