为了提高从软件构件库中搜索构件的速度和准确率，利用误差反向传播神经网络(BP网络)研究了构件的搜索问题。

To improve the speed and accuracy in component retrieval from software component database, BP network was introduced in the research of component searching.

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现代的软件项目已经非常复杂，并且开始严重依赖第三方的构件和库。

Nowadays, software programs are complex, and heavily rely on third party components and libraries.

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有了诸如amazon网络服务之类的基础构件及丰富的基础库，开发一个好的软件就不需要像一个村落那么多的人了。

With infrastructure like Amazon Web Services and an abundance of basic libraries, it no longer takes a village to build a good piece of software.

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