在 英语 中使用 Code coverage 的示例及其翻译为 中文
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In addition to viewing and running CTests from the Test Explorer, you can debug them and calculate their code coverage.
除了可以从测试浏览器窗口查看和运行CTest之外，你还可以调试它们并计算代码覆盖率。When subjected to system tests that check functionality, SOUP projects typically show very poor code coverage, leaving many code paths unexercised.
在进行系统测试以便检验功能性时，SOUP项目通常表现出代码覆盖率极差的特点，并且留下了很多未使用的代码路径。For many years Atlassian Clover has provided Java and Groovy developers a reliable source for code coverage analysis.
很多年来，AtlassianClover为JAVA和Groovy开发者提供了一个可靠的源代码用于代码覆盖率分析。A good way to spot untested parts of your application is to check code coverage.
一个找出代码中未被测试部分的方法是检查代码覆盖率。Check the code coverage results: Open the Code Coverage window(Test-> Windows-> Code Coverage Results).
在代码覆盖结果（CodeCoverageResults）窗口中查看代码覆盖的结果（测试（Test）->Windows->代码覆盖结果（CodeCoverageResults））。Organizations often set“code coverage” targets for developers to achieve, which requires writing unit tests to ensure software quality.
组织通常为开发人员设定测试代码覆盖目标，这要求他们创建单元测试以确保其软件的质量。Therefore, the code coverage of that particular test case spans all these projects.
因此，该特定测试用例的代码覆盖可以涵盖所有这些项目。To request the code coverage of the test case, click uTest> CCIN_test_cases in the coverage data elements, as shown in Figure 9.
要请求测试用例的代码覆盖，请在覆盖数据元素中单击uTest>CCIN_test_cases，如图9所示。Very low code coverage suggests that there's probably not enough tests for the code. .
非常低的代码覆盖率表明有可能代码的测试不够。The code coverage tool measures the extent to which the source code of a program is tested by a particular test case or test suite.
代码覆盖工具衡量由一个特定的测试用例或测试套件对程序的源代码进行测试的程度。Umar Hansa explains how you can use Code Coverage from Devtools to achieve it.
UmarHansa解释了如何使用Devtools的代码覆盖率工具来实现它。EclEmma is a free Java code coverage tool for Eclipse, available under the Eclipse Public License.
EclEmma是Eclipse的一个免费Java代码覆盖工具，遵循Eclipse公共许可。Analyzing code complexity and ensuring adequate code coverage are two ways to ensure quality of the code delivered as a result of a development project.
分析代码复杂性和确保足够的代码覆盖，这两个方法可以保证作为开发项目结果交付的代码的质量。Code coverage can be based on control flows(statement, branch, or paths) or data flows.
代码覆盖可以建立在控制流（语句、分支或路径）或数据流的基础上。Code coverage has been updated to dynamically instrument binaries at runtime, which gives you lower configuration overhead and provides better performance.
代码覆盖已经更新为运行时动态工具二进制，它提供更低的配置开销并且提供更好的性能。The issue that typically arises is capturing and analyzing particular trace files that provide substantial SQL code coverage.
通常遇到的问题，可以通过捕获和分析特定跟踪文件来解决，这些文件提供了较为广泛的SQL代码覆盖率。Eclipse Metrics and EclEmma plugins are used to gather the code complexity and code coverage details for the project, respectively.
EclipseMetrics和EclEmma插件分别用来收集项目的代码复杂性和代码覆盖的详细信息。If using GCC, all programs and libraries are compiled with code coverage testing instrumentation.
如果您使用GCC，所有的程序和库都用代码覆盖测试来编译。Notice the code lines highlighted with different colors, which indicate code coverage within the test case, as shown in Figure 10.
请注意用不同颜色突出显示的代码行，它们表示在测试用例中的代码覆盖，如图10所示。A program that has complex control flow will require more tests to achieve good code coverage and will be less maintainable.
具有复杂控制流的程序需要更多测试才能实现良好的代码覆盖率，并且不容易维护。
