Coverlipse: Measures code coverage.
Coverlipse：测量代码覆盖率。
PureCoverage does code coverage analysis.
PureCoverage进行代码覆盖的分析。
GCov code coverage display and annotation.
GCov代码覆盖显示和注释。
So how does code coverage relate to classworking?
那么，代码覆盖与classworking有什么关系呢？
This means that you need to run the code coverage probe.
这意味着你需要运行代码区域探针。
One of the most critical measurements for testing is code coverage.
代码覆盖率就是最重要的测试指标之一。
Allows you to easily debug or run code coverage on any target tests.
可以轻松对任何目标测试进行调试或执行代码覆盖率测试。
Other views help users locate gaps in code coverage during profiling runs.
其他的视图帮助使用者定位在配置运行期间，代码覆盖的间隔。
Code coverage is a way of seeing how much code is covered by a set of tests.
代码覆盖是一种查看一套测试覆盖了多少代码的方法。
I'll be looking at code coverage mainly from the standpoint of unit testing.
我主要从单元测试的角度来看代码覆盖。
A baseline file is a notion specific to the Rational Code Coverage feature.
所谓的基线文件是一个特定于RationalCode Coverage特性的概念。
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。
The fastest gains in code coverage come by starting your tests at the highest level.
在最高层次上开始测试能够以最快速度获得代码覆盖率。
Code coverage is useful in that it shows you that your tests do what you think they do.
当代码覆盖能够反映出你的测试代码确实正按你命令行事的时候，它们是有用的。
This modified test case passes on all fronts, including the Hansel code coverage checks.
这个修改后测试用例的所有方面都可以获得通过，包括Hansel代码覆盖检查。
The code coverage report indicates 100 percent coverage; however, we know this is misleading.
代码覆盖率报告指示100%的覆盖率，但我们知道这是一个误导。
When code coverage analysis is used at such a juncture, the results are frequently eye opening.
这时代码覆盖率分析就有用了，它可以扩展您的视野。
Measurement of vital runtime parameters, including memory usage, performance, and code coverage.
重要运行时参数的度量，包括内存使用、性能和代码覆盖。
If you have 100 percent code coverage on your project, you can refactor your code with impunity.
如果您的项目的代码覆盖率达到了100%，那么可以安全地重构代码。
On the other hand, they achieve more code coverage than unit tests do because of their wide reach.
另一方面，由于其宽广的范围，它们实现了比单元测试更广的代码覆盖率。
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。
Unfortunately, code coverage testing only makes sure you're executing all the code you'd like to test.
不幸的是，代码覆盖测试只能确保您想要测试的所有代码得到执行。
Code coverage indicated we were done after one test case, but CC forced us to write an additional one.
代码覆盖率指示我们已经在一个测试用例之后完成了此操作，但CC却会强迫我们编写额外的测试用例。
Naturally, these would be supplemented with Rational's tools for testing, profiling, and code coverage.
很自然，这些工具可通过使用Rational工具来弥补在测试、调优和代码覆盖上的缺乏。
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。
The small steps also let me keep up with my code coverage as I develop, and build a richer specification.
这些步骤还能使我在开发期间跟踪代码覆盖情况，从而构建更加丰富的规范。
Unit testing isn't the only scenario where code coverage tools are useful, but it's certainly a major use case.
单元测试并不是惟一用得着代码覆盖工具的地方，但是代码覆盖工具主要还是用在这里。
In our current 1.2 release we have achieve about 74% code coverage. For 1.3 release bar is set for 80% coverage.
在目前的1.2版中，我们达到了74%左右的代码覆盖率并且期望在1.3版中能将这一数字提升至80%。
From a parameterized unit test, it automatically produces a traditional unit test suite with high code coverage.
它可以从一个参数化的单元测试中自动生成一个传统的单元测试集，而且有很好的代码覆盖率。
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。
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