Research on the causes of false positives in source code detection

Ranxin Gao, Min Li, Yue Sun, Sen Jing, Wei Chen, Xiaotian Xu
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Abstract

Source code is an important part of information system. With the rapid development of Internet, there are more and more information systems, and the work of source code detection is also increasing. At present, the work of source code detection usually depends on automatic inspection tools, but automatic tools bring convenience and some false positives. Therefore, this paper studies the causes of false positives in the process of source code detection, and puts forward several methods to reduce the false positives rate of source code detection. The methods improve the efficiency and quality of source code detection effectively.
源代码检测中误报原因的研究
源代码是信息系统的重要组成部分。随着互联网的快速发展,信息系统越来越多,源代码检测的工作也越来越多。目前,源代码检测工作通常依赖于自动检测工具,但自动工具带来了方便和一些误报。因此,本文研究了在源代码检测过程中产生误报的原因,并提出了几种降低源代码检测误报率的方法。这些方法有效地提高了源代码检测的效率和质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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