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Updated: Jun 12, 2025

A Method for Growing Bio-memristors from Slime Mold
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A Method for Growing Bio-memristors from Slime Mold

Published on: November 2, 2017

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通过加权代码流失和多目标粘液模具算法改进精力意识的即时缺陷预测

Hongming Dai1,2, Jianqing Xi1, Hong-Liang Dai3

  • 1School of Software, South China University of Technology, Guangzhou, 510006, China.

Heliyon
|September 26, 2024
PubMed
概括

这项研究引入了一种使用加权代码流失和改进的粘液模具算法进行精力意识的即时软件缺陷预测 (JIT-SDP) 的新方法. 通过更好地预测缺陷,WCMS方法提高了软件质量保证 (SQA) 的效率.

关键词:
努力意识到自己的努力.准时缺陷预测 准时缺陷预测多目标粘液模具算法 多目标粘液模具算法软件质量保证 软件质量保证有权重的代码转换率.

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