通过使用这种自动化，一些低级的源代码细节(如编码标准、复杂性和重复程度等)的处理成为了机器的职责。

And it's through this automation that low-level source code details like coding standards, complexity, and duplication (to name a few) become the responsibility of a machine.

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甚至超过编码规则，复杂性分析是在您的系统中确定最有风险的，更容易出错的，最困难且维护成本最高的代码的基础。

Even more than coding guidelines, complexity analysis is the foundation for identifying the riskiest, more error-prone, most difficult and costly-to-maintain code in your system.

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这样就降低了编码的复杂性，为程序员提供了更加集成化的分布式数据视图。

This reduces coding complexity and provides programmers with a more integrated view of distributed data.

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