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机译:具有多个指标和学习者的增强的软件缺陷预测模型
The School of Reliability and System Engineering, Science and Technology on Reliability and Environmental Engineering Laboratory, Beihang University, 37 XueYuan Road, HaiDian District, Beijing 100191, China;
The School of Reliability and System Engineering, Science and Technology on Reliability and Environmental Engineering Laboratory, Beihang University, 37 XueYuan Road, HaiDian District, Beijing 100191, China;
The School of Reliability and System Engineering, Science and Technology on Reliability and Environmental Engineering Laboratory, Beihang University, 37 XueYuan Road, HaiDian District, Beijing 100191, China;
software defect prediction mode; fault proneness; ensemble learning; software metrics;
机译:使用汇总汇总软件度量标准会影响缺陷预测模型的性能
机译:分析软件指标以建立准确的动态缺陷预测模型
机译:软件度量选择技术的研究:稳定性分析和缺陷预测模型性能
机译:利用软件工程指标提高软件可靠性预测增强模型
机译:交叉项目缺陷预测的软件度量聚类方法
机译:建议的缺陷跟踪模型用于对插入的缺陷报告进行分类以增强软件质量控制
机译:使用各种软件度量标准作为错误指标开发软件错误预测模型