NET代码覆盖工具。
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。
The next step beyond testing code is measuring the tests with a code coverage tool.
对代码进行测试的下一步是用代码覆盖工具对测试进行度量。
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。
Next, I run a code coverage tool, such as Cobertura, and get the report shown in Figure 1.
接下来，我将运行一个代码覆盖率工具，比如Cobertura，并将获得如图1中所示的报告。
You could use a code coverage tool before step 4, but I prefer to do the preceding steps manually.
您也可以在第4步之前使用一个代码覆盖率工具，但是我宁愿您手动完成前面的步骤。
As you can see, using a code coverage tool can uncover important code that doesn't have a corresponding test case.
正如您看到的，使用一个代码覆盖工具可以揭露重要的没有相应测试案例的代码。
Unlike a traditional code coverage tool such as Clover, Jester doesn't watch which lines of code have been executed.
与Clover这类传统的代码覆盖工具不同，Jester不去查看报告了哪行代码。
Looks like you need code coverage tool, which analyzes your solution and shows which lines of code tested and which are not.
看起来你需要代码覆盖率工具，分析解决方案，显示这行代码测试，哪些不是。
As the test material is run against it, the code coverage tool USES these hooks to log the journey each test takes as it executes.
当测试材料遇到这些钩子时，代码覆盖工具使用这些钩子来记录每个测试在其执行时所经历的过程。
Once every method has at least one test, use a code coverage tool, such as Cobertura, to write one test for every branch until each line of code is tested.
当每个方法都有了至少一个测试，使用一个代码覆盖率工具如cobertura为每个分支编写一个测试，直到每一行代码都能够被测试。
A code coverage tool reports test coverage — either in the form of line or branch coverage — that represents the amount of code that is being touched when a test is run.
代码覆盖工具可报告测试覆盖率——以行覆盖或分支覆盖形式表示——它表示测试运行时所涉及的代码量。
This tool enabled us to monitor the coverage provided by our tests and then decide whether to improve the tests or test the code through manual inspection instead.
这个工具能够使我们观测我们提供的代码覆盖测试，然后决定是改进测试还是通过手工检查的方法来测试代码。
I consider testing an essential aspect of software development, and code coverage is a key tool for measuring the quality of one's testing.
我认为测试是软件开发的一个基本方面，代码覆盖率则是衡量一个人测试质量的关键工具。
At runtime, these function calls send information on the application's code coverage to a separate tool.
运行时，这些函数调用把应用代码覆盖率的相关信息发送给一个单独的工具。
It finds gaps in code coverage no other tool can, which translates directly into finding and fixing bugs.
它可以发现其他工具不能发现的代码覆盖不足，这会直接变成发现和修复bug。
The tool quantifies the coverage data and generates coverage percentage Numbers for each section and file of the kernel. The following example show a sample code coverage output.
这个工具会量化覆盖率数据并生成关于内核中每一部分和文件覆盖率的百分比数字。
This tool enabled us to look at our unit tests. code coverage in two ways: with the coverage Browser or the file-specific coverage Fileview.
这个工具能够使我们浏览我们的单元测试；以两种方法进行代码覆盖测试：使用CoverageBrowser或者指定文件的Coverage Fileview方式。
There is no use of a coverage tool to measure the code-level code coverage, nor is there use of code quality tools to automate memory leak detection and performance issues.
覆盖工具对于测量代码级别的代码覆盖来说并没有任何用处，代码质量工具对于自动检测内存泄露和执行问题来说也没有任何用处。
There is no use of a coverage tool to measure the code-level code coverage, nor is there use of code quality tools to automate memory leak detection and performance issues.
覆盖工具对于测量代码级别的代码覆盖来说并没有任何用处，代码质量工具对于自动检测内存泄露和执行问题来说也没有任何用处。
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