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。
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？
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。
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。
PureCoverage for source code coverage analysis.
源代码覆盖分析的purecoverage。
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。
Problem has been found for which no test exists: code coverage.
发现的问题没有被测试过：代码覆盖率问题。
The chapter concludes with code for a simple code coverage tool.
本章作者总结了一个简单的代码覆盖工具。
While the tests are running, code coverage data is gathered.
在执行测试的同时，就会收集到程序码涵盖范围资料。
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。
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。
The result is that code coverage declines over the life of the product.
结果就是代码覆盖率降低了产品的生命。
Code Coverage: Shows you which code was executed, down to the line level.
代码范围：显示那些代码被执行了，可以精确到行的级别。
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。
For code coverage data this must be the role that will run the tests.
对于程序码涵盖范围资料，此角色必须是执行测试的角色。
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。
You can also save the result of merging code coverage data, and re-import it.
您也可以将合并程序码涵盖范围资料的结果储存起来，然后再次汇入。
PartCover is an open source code coverage tool for.net very similar to NCover.
与NCover非常相似，PartCover是针对。NET的一个开源代码覆盖工具。
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。
The Performance Analyzer , Call Stack , Code Coverage , and Step Outcapabilities are not available.
在性能分析器，调用堆栈，代码覆盖率，加强在能力不详。
The Performance Analyzer , Call Stack , Code Coverage , and Step Outcapabilities are not available.
在性能分析器，调用堆栈，代码覆盖率，加强在能力不详。
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