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。
Thorough test coverage of the mapping is of Paramount importance.
对映射的全面测试覆盖极为重要。
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。
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。
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。
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。
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。
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。
When I run the test coverage process again with the new test cases, I get a much more complete report, as shown in Figure 2.
当我使用新的测试案例再次执行测试覆盖过程时，我得到了如图2所示的更加完整的报告。
Also, the LTP stress test makes good use of the GNU test coverage program gcov and its Perl-based gcov results HTMLizer lcov.
此外，LTP压力测试还充分利用了GNU测试覆盖率的程序gcov以及它的基于Perl的将gcov结果转化为HTML的工具(HTMLizer) lcov。
Test automation is often seen as a way to reduce the costs of testing, increase test coverage and effectiveness, and shorten testing cycles.
测试自动化常常被当做减少测试成本、增加测试覆盖率和有效性、缩短测试周期的手段。
Martin's final remarks give response to this common statement: "Wouldn't it be faster without [having to worry about] such high test coverage?"
Martin最后对一个常见说法给予了答复：“如果没有这么高的测试覆盖率，项目进度不是会更快吗？”
Knowing this, developers, managers, and QA professionals can use test coverage tools where they really count — namely for three common scenarios.
知道这些以后，开发人员、管理人员以及QA专业人员就可以在真正需要的地方使用测试覆盖工具。
You can set clear quality objectives for things like performance and security testing, and defining environments for your automated test coverage.
您可以为性能和安全性测试之类的事情设置质量目标，并为您的自动化测试覆盖面定义环境。
It doesn't tell us about the quality of the test coverage, the severity of the bugs, or the frequency with which customers will actually hit them.
它没有告诉我们测试覆盖的质量，程序缺陷的严重性，或是客户将在实际中碰到它们的频率。
The trick to test coverage measurement is to use the coverage report to expose code that hasn't been tested, on a micro level and on a macro level.
测试覆盖度量的窍门是使用覆盖报告找出未经测试的代码，分别在微观和宏观两个级别。
I'll say it one more time: you can (and should) use test coverage tools as part of your testing process, but don't be fooled by the coverage report.
我不止一次地说：您可以(而且应该)使用测试覆盖工具作为您的测试过程的一部分。但是不要被覆盖报告所愚弄。
Traceability to identify whether all requirements are developed and have test coverage is very important to ensure the quality and completeness of the product delivered.
识别所有的需求是否已被开发以及得到测试覆盖的需求追踪性，对于确保交付产品的质量和完整性非常重要。
A code coverage tool reports test coverage — either in the form of line or branch coverage — that represents the amount of code that is being touched when a test is run.
代码覆盖工具可报告测试覆盖率——以行覆盖或分支覆盖形式表示——它表示测试运行时所涉及的代码量。
Spring provides the infrastructure to develop your components with increased productivity and runtime performance, and also improves test coverage and application quality.
Spring提供了基础设施来开发具有更高效率和运行时性能的组件，还改进了测试覆盖率和应用程序质量。
Spring provides the infrastructure to develop your components with increased productivity and runtime performance, and also improves test coverage and application quality.
Spring提供了基础设施来开发具有更高效率和运行时性能的组件，还改进了测试覆盖率和应用程序质量。
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