Both reports compare the coverage data to a previous version.
两种报告都会将覆盖率数据与前面的版本进行比较。
But once you've collected all that coverage data, what can you do with it?
但是一旦您收集了所有的覆盖率数据，您可以对它们做些什么呢？
Try the automated report scripts and find out how coverage data can help you manage your project.
试着将报表脚本自动化，并弄清覆盖率数据是怎样帮助您管理您的项目的。
The screen shot in Figure 3 shows the coverage data produced by running the tests on one solution.
图3中显示的是在一个解决方案中通过运行测试产生的覆盖数据。
Likewise, managers can use coverage data to better estimate the time a developer actually needs to do the work.
同样，管理人员可以使用覆盖数据更好地估计开发人员实际所需的时间。
This topic describes how to merge code coverage data and view that merged data.
本主题描述如何合并代码覆盖率数据以及查看合并的数据。
If the program's binaries are instrumented, code coverage data will be gathered.
如果这个程序的二进制文件经过了检测，则将收集代码覆盖率数据。
To obtain code coverage data, the assembly being tested must first be instrumented.
要获取代码覆盖率数据，必须先“检测”所测试的程序集。
The instrumentation process adds code to the assembly so that code coverage data can be generated.
检测程序会将程序码加入至组件，以便产生程序码涵盖范围资料。
For code coverage data to appear in the report, team members must instrument tests to gather that data.
若要在报表中显示程序码涵盖范围资料，小组成员必须设定测试来收集该资料。
The output includes coverage percentages, graphs, and overview pages that allow quick browsing of coverage data.
输出包括覆盖率百分比、图表以及概述页，可以快速浏览覆盖率数据。
Test result data, including code coverage data, is stored in XML format only when you explicitly export it.
只有当您明确地汇出测试结果资料 （包括程式码涵盖范围资料） 时，它才会以XML格式储存。
Methods The reported routine coverage data of MCV were collected from China immunization information system.
方法通过中国免疫规划监测信息管理系统收集MCV常规免疫报告接种率数据。
You also have the ability to convert files containing exported coverage data into a form that can be viewed in a Web browser.
您还可以将一个包含了输出覆盖率数据的文件，转化为可以在Web浏览器中浏览的形式。
You can also work with code coverage data in other ways, such as by saving merged data to disk and re-importing it to view it later.
您还可以通过其他方式使用代码覆盖率数据，例如将合并的数据保存到磁盘中并将其重新导入以便以后查看。
This walkthrough illustrates how to view code coverage data, which shows the proportion of your project's code that is being tested.
此演练说明如何查看代码覆盖率数据，这些数据显示正在测试的项目代码占所有代码的比例。
Difference reports compare two sets of coverage data and report on how the coverage Numbers have changed due to modifications in the source code or in the tests.
差异报告比较两种类型的覆盖率数据，并报告覆盖率数据是怎样由于源代码或者测试中的更改而发生变化的。
Note Another approach for valuing assets is to work with the financial risk management team that may have insurance valuation and coverage data for specific assets.
评估资产价值的另一种方法是与可能具有具体资产的保险估价和覆盖范围数据的财务风险管理小组合作。
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。
The final result is a stress test that covers enough of the Linux kernel to be useful for stability statements, and that has the system usage and kernel code coverage data to support it.
最终得到的压力测试涵盖了Linux内核的足够多部分，有助于稳定性声明，并且有系统使用情况和内核代码覆盖情况的数据来支持它。
Working with Merged Code Coverage Data.
使用合并的代码覆盖率数据。
Coverage data for child and maternal health services in 28 sub-Saharan African countries were obtained from the 2000-2008 Demographic health Survey.
撒哈拉以南28个非洲国家的妇幼保健服务覆盖情况的数据从2000- 2008年间的“人口健康调查”获得。
Coverage data for child and maternal health services in 28 sub-Saharan African countries were obtained from the 2000-2008 Demographic health Survey.
撒哈拉以南28个非洲国家的妇幼保健服务覆盖情况的数据从2000- 2008年间的“人口健康调查”获得。
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