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。
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。
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。
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。
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。
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。
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。
To see just how effective my tests are at exercising the code, I can check code coverage with Hansel.
为了看看上述测试在检验这块代码时效果如何，我可以用Hansel检查代码覆盖情况。
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。
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。
By producing hard Numbers for code coverage, Cobertura transforms unit testing from an art to a science.
通过生成代码覆盖率的具体数值，Cobertura将单元测试从一种艺术转变为一门科学。
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。
Where Gretel goes beyond most other code coverage tools is in its support of incremental coverage checking.
Gretel超越大多数其他代码覆盖工具的地方是它对增量覆盖检查的支持。
3 It's easy for graders to run the tests under Coverlipse and determine if there is 100% code coverage or not.
3对于评分者来说在Coverlipse下运行测试并决定是否有100%的代码覆盖率是十分容易的。
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。
In developing Flexcover, Berkovitz carefully built up the existing code coverage tools used for other languages.
在开发Flexcover的过程中，Berkovitz仔细地研究了用于其它语言的现存代码覆盖率工具。
New tools are now being used that instrument the kernel in such a way that code coverage analysis can be performed.
现在所使用的新工具为内核提供了代码覆盖分析的功能。
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。
There are some issues, however, when it comes to running RMock tests with code coverage inside Eclipse (see Table 1).
但是，用Eclipse内的代码覆盖工具运行RMock测试时会带来一些问题(参见表1)。
You can run any of the tests listed in this article with most code coverage tools (for example, Cobertura or EclEmma).
您可以用大多数代码覆盖工具(例如，cobertura或eclemma)来运行本文中列出的任何一个测试。
What's interesting here is that we were able to spot this defect using cyclomatic complexity rather than code coverage.
在这里，有趣的是我们可以使用圈复杂度而不是使用代码覆盖率来找出这个缺陷。
Use Rational PurifyPlus to pinpoint memory corruption, performance problems, code coverage deficiencies, and memory leaks.
使用RationalPurifyPlus来精确定位内存失败、性能问题、代码覆盖缺陷和内存泄漏。
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