2011Jisuanji yingyong yanjiuRequires access

Research on source code safety defects based on static test tools

Guangwei Wang

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Abstract

To cope with the problem of high false negatives and false positives in source code static analysis methods with a static test tool,this paper presented a static analysis detection method for safety defects detection based on several static test tools.This method made statistical analysis on the outcome of different static test tools,which greatly decreased the false negatives and false positives.It designed and implemented a scalable source code static analysis tool platform,and it was proved by experiment that this platform has a better performance with lower false negatives and false positives compared with one single static test tool.

About this research paper

What this paper is about

To cope with the problem of high false negatives and false positives in source code static analysis methods with a static test tool,this paper presented a static analysis detection method for safety defects detection based on several static test tools.This method made statistical analysis on the outcome of different static test tools,which greatly decreased the false negatives and false positives.It designed and implemented a scalable source code static analysis tool platform,and it was proved by experiment that this platform has a better performance with lower false negatives and false positives compared with one single static test tool.

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Available abstract

To cope with the problem of high false negatives and false positives in source code static analysis methods with a static test tool,this paper presented a static analysis detection method for safety defects detection based on several static test tools.This method made statistical analysis on the outcome of different static test tools,which greatly decreased the false negatives and false positives.It designed and implemented a scalable source code static analysis tool platform,and it was proved by experiment that this platform has a better performance with lower false negatives and false positives compared with one single static test tool.

Key concepts: Static analysis, False positive paradox, Computer science, Static program analysis, False positives and false negatives, Source code, True positive rate, Code coverage

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