【摘要】 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。其中,基于"部分重复性"理论的挖掘方法便是数据挖掘的重要技术之一。在对复杂数据的处理过程中,"部分重复性"理论通过建立"中心函数"、"浮动域"和"正确度"指标,提供了一种分类优劣的评价标准。与传统方法相比较,这种方法更加直观、更加高效、更加易于实现,而且能够发现有价值的知识模式。更多还原

【Abstract】 This paper puts forward applying data mining to software engineering. Data mining is an intersection subject involving many fields, and owns many mature technologies. The method based on partial repeatability is one of important techniques in data mining. In processing the software data, the theory of partial repeatability offers a criteria for evaluating different classifier by building "center function", "fluctuation zone" and "correctness factor". Compared with the traditional method, this method is more direct, more efficient, easier to realize, and it can find valuable knowledge patterns too.更多还原