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Discovering Programmer Intention Behind Written Source Code

机译:发现程序员意向书面源代码

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The goal of this work is to leverage natural lan-guage processing techniques to assist in the classification andunderstanding of a programmer's intention from inspectingsource code. Our model utilizes well-known machine learningtechniques. We find that we can accurately classify C sourcecode into different classes, distinguishing between benign andmalicious source code with a high degree of accuracy.
机译:这项工作的目标是利用自然的LAN-GUAGE处理技术来协助分类Anderstand,对程序员免受核查源代码的意图。我们的模型采用了知名机器学习技术。我们发现我们可以将C Sourcecode准确地分类为不同的类,区分具有高精度的良性和源代码。

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