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Updated: Jun 16, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
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Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

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开发部分最小平方回归与区分分析,用于软件错误预测.

Róbert Rajkó1,2, István Siket3,2, Péter Hegedűs3,2

  • 1E-Dimension Ltd., Szeged, Hungary.

Heliyon
|August 21, 2024
PubMed
概括

本研究介绍了带有区分分析的部分最小方程 (PLS-DA),用于使用源代码指标预测易发生错误的Java类. 与现有方法相比,这种新方法显示出更高的性能和更快的培训速度.

关键词:
错误预测 错误预测 错误预测 错误预测在PLS-DA中.部分最小正方形.静态源代码指标 静态源代码指标

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