他们负责构建和维护代码分析器、开发环境、测试用例管理系统、自动化测试工具、构建系统、源代码控制系统、代码回顾计划、缺陷数据库。
We build and maintain code analyzers, IDEs, test case management systems, automated testing tools, build systems, source control systems, code review schedulers, bug databases...
因为测试用例易于创建，您能够简单地运行和维护测试，这有时会导致测试用例膨胀。
This can sometimes lead to test case bloat, where you are running and maintaining tests simply because they were easy to create.
如果您只是因为测试用例容易创建，而不投入许多时间和金钱来维护测试集，那就要小心了。
Just be careful that you aren't investing a lot of time and money maintaining a suite of tests just because they were easy to create.
可以看到，只需要很少的CPU资源来维护索引(在我们的测试用例中是1%)，但是却需要使用高达20%的CPU资源进行搜索。
As you can see, there is little CPU penalty to maintaining the index (1 percent in our test case), but a heavy search cost of 20 percent CPU usage.
这使得测试用例可读性差，增加了维护难度。
通过这种方式使用FlexMonkey，我们可以交互性地创建和维护多种多样的，复杂的，可以包含任意数量测试用例和测试的套件。
Using FlexMonkey in this way we can interactively create and maintain various, complex test suites consisting of any number of test cases and tests.
这样可减少对手动测试用例的维护。
这样可减少对手动测试用例的维护。
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