Cobertura test coverage tasks.
Cobertura测试覆盖率工具。
Ideas about your test coverage.
关于测试覆盖面的打算。
Establish higher testability and greater test coverage.
建立更高的测试性和更高的测试覆盖面。
PureCoverage measures your test coverage and reveals gaps.
PureCoverage可以度量您的测试覆盖范围，并可以显示漏洞。
Thorough test coverage of the mapping is of Paramount importance.
对映射的全面测试覆盖极为重要。
Figure 7: RAD Annotated Source view revealing test coverage issues.
图7：RAD修饰词源码视图显示测试代码覆盖论题。
The or mapping is a major layer that needs exhaustive test coverage.
OR映射是一个需要穷举测试覆盖的主要层。
It finds gaps in test coverage, which leads directly to finding bugs.
它可以寻找测试覆盖中的空隙，直接找到bug。
Now, don't get me wrong: There's nothing foolish about using test coverage tools.
现在，不要误解我的意思：并不是说使用测试覆盖工具是愚蠢的。
Figure 1: Percentage of test coverage for twelve iterations, over three projects.
图1：三个项目中12次迭代的测试覆盖率。
If you have gaps in test coverage you will also have gaps in Purify error checking.
如果您在测试覆盖范围中有漏洞，那么您在Purify错误检验中仍然会有漏洞。
Finding patterns of missing bugs is an important technique to verifying test coverage.
找到错过的程序错误的模式是检查测试覆盖的一个重要技术。
Test coverage measurement tools are a fantastic addition to the unit testing paradigm.
对单元测试范例而言，测试覆盖度量工具是一个有点奇怪的组成部分。
Keep metrics on test coverage to requirements. Keep metrics on test execution over time.
保持测试上的韵律学覆盖所有需求，并且时刻保持测试上韵律学的执行。
This means that there should not be any unnecessary overlap or gaps in the test coverage.
这意味着，在测试覆盖中，不应当有任何不必要的覆盖或缺口。
You simply keep track of defect discovery and fix rates, test coverage statistics, and so on.
您可以容易地跟踪缺陷发现率和修复率，测试覆盖统计，等等。
It can also provide various statistics that may be useful quality metrics, such as test coverage.
它也可以提供各类统计数据，他们可能是有用的度量，例如测试覆盖率。
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's not about frameworks or test coverage, but inspiration and learning from the mistakes of others.
我们关注的不是框架，也不是测试覆盖率，而是从别人犯过的错误中获得灵感和教训。
Data driven Scenarios: This allows to build data-driven tests on the fly for increased test coverage.
数据驱动的场景：建立即时的数据驱动测试，提高测试覆盖率。
They don't like this at first, but by the middle of the term, their test coverage usually reaches 100%.
一开始他们不喜欢这样，但是到了期中，他们的测试的覆盖率通常都达到100%。
This enabled us to increase test coverage as we progressed through the different Construction iterations.
这使得我们通过不同的构建迭代增加了测试覆盖率。
As a result, measures that quantify test coverage, productivity, and progress should be the team's focus.
因此，确定测试覆盖率，生产力以及过程的度量方法变成了这个小组的焦点。
The results of my test coverage analysis of Listings 7, 8, and 9 shouldn't be any surprise to you by now.
现在，对清单7、8、9的测试覆盖率的分析结果不再会使您感到惊讶。
But that doesn't increase your test coverage or your understanding of how users interact with the application.
但是那不能增加你的测试覆盖或你对使用者对于应用软件是如何反应的理解。
In any case, the master test plan needs to ensure that the st and at are complementary with regard to test coverage.
无论如何，主测试计划需要确保，系统测试和验收测试是有关测试覆盖的补充。
Use cases also offer the opportunity to simplify requirements traceability and to insure more complete test coverage.
用例还提供了简化需求跟踪的机会，从而确保更完整的测试覆盖率。
Test coverage reports identify the tests that need to be run to cover a given set of source files that have been changed.
测试覆盖率报告会识别需要更改为包含的一系列源文件的测试。
Test coverage tools are generally easy to add into an established unit testing process, and the results can be reassuring.
测试覆盖工具通常可以很容易地添加到确定的单元测试过程中，而且结果可靠。
For ChangingThePresent, we've had fluctuating test coverage statistics, but we're settling on a number between 80% and 85%.
对于ChangingThePresent，我们已有的测试覆盖率统计数据有些浮动，但我们还是设置了80%和85%间的一个数字。
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