基于机器学习的软件缺陷预测是一种有效的提高软件可靠性的方法。
Software Quality Prediction Based on Machine Learning is an effective way to improve software reliability.
目前软件缺陷预测技术已经被证明是提高软件可靠性和软件质量的有效方法。
Now software faults prediction is a proven technology to improve software quality and reliability.
为了确切地估计软件缺陷分布，提出了基于AODE和再抽样的软件缺陷预测模型。
To evaluate software defect distribution exactly, a software defect prediction model based on AODE and resampling is put forward.
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