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Researchers at University of Maryland Report New Data on Machine Learning (An Empirical Assessment of Machine Learning Approaches for Triaging Reports of Static Analysis Tools)

机译:Researchers at University of Maryland Report New Data on Machine Learning (An Empirical Assessment of Machine Learning Approaches for Triaging Reports of Static Analysis Tools)

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By a News Reporter-Staff News Editor at Network Daily News – Current studyresults on Machine Learning have been published. According to news reporting originating in College Park,Maryland, by NewsRx journalists, research stated, “Despite their ability to detect critical bugs in software,static analysis tools’ high false positive rates are a key barrier to their adoption in real-world settings. Toimprove the usability of these tools, researchers have recently begun to apply machine learning techniquesto classify and filter incorrect analysis reports.”
机译:由一个新闻记者在网络新闻编辑每日新闻——当前的研究学习已经出版。报告源自大学公园,NewsRx记者,研究指出,“尽管他们发现关键缺陷的能力软件积极的利率是他们的一个关键障碍采用在实际设置。这些工具的可用性,研究人员最近才开始应用机器学习技术分析报告”。

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    《Network Daily News》 |2023年第8期|89-90|共2页
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