With data coverage throughout the year, you can keep track of educational information throughout the school and even the entire city.
由于全年都有数据覆盖，整个学校甚至是整个市区的教育信息你都能了如指掌。
What features do you want to include in your test coverage and what data do you require to use them?
您想要在您的测试覆盖中包括什么特性，以及您要使用它们要求什么数据？
It produces reports down to the individual line level; but for testers it is usually best to capture, summarize, and trend the coverage data at the file or subdirectory level.
它可以产生单线水平的报告；但是对于测试人员来说，在文档或者子目录水平通常是最容易捕捉、总结，并趋向覆盖数据的。
Data on coverage of some health interventions are more hopeful.
关于一些卫生干预覆盖率的数据比较有希望。
In general, though, if code coverage data is gathered during a successful test run, the information can be stored for later use as an indication of tested function.
总的来说，尽管，如果代码覆盖数据是在成功的测试运行过程中收集的，那么此信息可以存储起来随后作为测试的功能的指示。
You can examine the coverage analysis data to help you determine which subset of the automation suite needs to be run, allowing you to validate the new code in less time.
这时您就需要检查覆盖率分析的数据，以帮您确定哪些自动化测试的子集需要运行，这样就可以让您在更短的时间内验证新的代码。
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。
Coverage data detects this situation promptly so it can be corrected.
覆盖率数据能够迅速的发现这种情况，所以它能够被校正。
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。
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。
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。
Don't limit your use of coverage data to a single number at the top of the summary.
不要在总结的顶部，限制您对覆盖率数据的使用为单个号码。
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。
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。
The data is then synthesized to produce a coverage report.
然后这些数据被合成为覆盖报告。
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。
Examining efferent coupling's relationship data and relating it to code coverage facilitates smarter decision making.
检查传出耦合的关系数据，并将其与代码覆盖相关联，会促进作出更明智的决策。
Coverage data helps identify obsolete tests that can be dropped.
覆盖率数据可以帮助识别能被遗弃的无用数据。
The importance of coverage, connectivity and community in the data center selection process.
在数据中心选择过程中覆盖范围、连通性和一致性的重要性。
By using these specialized reports it is possible to use code coverage data to detect some common types of problems that many teams encounter. For example.
通过使用这些特定的报告，使用这些代码覆盖率数据，以探测许多团队可能会碰到的一些共同类型的问题。
There is some way to determine for each source file the full set of diff output identifying the changes made since the coverage data for each test was collected.
有一些方法可以决定每一个源文件和 diff输出的全集，识别作出的更改，因为每一个测试的覆盖率数据都被收集了。
The expectation is that those using this feature will be individuals such as project leads, program managers, or others with interest in the coverage data, but who are not actively using PurifyPlus.
预期的是哪些使用这些特性的部分，将会是私人的，例如项目领导、程序管理员，或者其他对覆盖率数据感兴趣的人，但是这些人并不是积极使用PurifyPlus的。
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。
List the.pcv files that contain the coverage data for the new version of the file.
列出包含文件新版本的覆盖率数据的. pcv文件。
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。
Figure 2 shows a low coverage report that lists the source files with coverage data in myprog.pcv that have less than 75% coverage.
图2显示了一个列出了源文件的覆盖率报告，它还带有myprog . pc v中不超过75%覆盖率的覆盖率数据。
Coverage reports are the most basic of PureCoverage reports; they present the coverage data itself rather than any analysis.
覆盖率报告是大多数PureCoverage报告的基础，它们呈现的是覆盖率数据本身，而不是任何的分析数据。
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 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。
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