High code coverage cannot ensure high quality.
高代码覆盖率与高质量之间没有必然联系。
PureCoverage for source code coverage analysis.
源代码覆盖分析的purecoverage。
To this end, we turn to the use of code coverage.
为此，我们求助于代码覆盖的使用。
Do you know what code coverage is?
什么是代码覆盖率？
NET代码覆盖工具。
什么是代码覆盖率？
What types of code coverage are there?
有多少种代码覆盖率？
Well, this type of analysis is called code coverage.
而这个分析的类型被称作代码覆盖。
Perfect, 100 percent code coverage is not always attainable.
并不总是可以得到完美的、100%的代码覆盖率。
When you adopt TFP, you can achieve 100 percent code coverage.
当采用 TFP 时，可以实现 100％ 的代码覆盖率。
The test above was run as a simple JUnit test without code coverage.
以上测试是作为简单的JUnit测试运行的，没有代码覆盖。
To perform code coverage analysis of a test suite, follow these steps
进行代码覆盖率分析的主要步骤为
There are a number of tools available to provide code coverage metrics.
有许多可用的工具可以提供代码覆盖率。
When you measure code coverage, the amount of raw data can be overwhelming.
当您评价代码覆盖率时，原始数据的数量会非常的巨大。
The ideas behind this have been around since code coverage was first conceived.
背后的思想在最初设想代码覆盖时就出现了。
He did that with serene confidence because the project had comprehensive code coverage.
他在进行重构时信心满满，因为项目拥有广泛的代码覆盖率。
Code coverage is also measured.
代码覆盖范围(coverage)也会被考量。
Visualization example 1: Code coverage.
可视化例子1：代码覆盖。
Code coverage tools give you one way to measure test completeness.
代码覆盖工具为您提供了一种度量测试完整性的方法。
Code coverage tools give you one way to measure test completeness.
代码覆盖工具为您提供了一种度量测试完整性的方法。
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