软件工程数据挖掘（Software engineering data mining） 2软件工程数据挖掘存在的挑战（Challenge of software engineering data mining） .
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Finally, the experimental results illustrate the improved KFCM algorithm can achieve good clustering performance and high efficiency for software engineering data mining.
实验结果表明，改进的KFCM算法对软件工程数据的挖掘有很好的聚类效果，且有较高的效率。
Finally, data validation and optimization value finding software is made and integrated into UPOS according to the theory of data mining and knowledge engineering.
最后，论文基于数据挖掘的理论和知识工程的增量式开发方法研制了运行优化数据检验软件和优化目标值挖掘软件。
This paper puts forward applying data mining to software engineering. Data mining is an intersection subject involving many fields, and owns many mature technologies.
文中提出了一种将数据挖掘应用于软件工程学中的模型，数据挖掘是一个涉及多领域的交叉学科，它拥有许多成熟的技术。
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