文章基本信息

标题：Data Mining Methods for Program Comprehension
本地全文：下载
作者：Ashutosh Mishra ; Vinayak Srivastava
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2012
卷号：3
期号：2
页码：110-116
语种：English
出版社：Ayushmaan Technologies
摘要：Source code comprehension is a very vital task in software engineering and in software maintenance in particularly. The comprehension of the source code is performed by different tools for various purposes. Data mining is one of the important and versatile methods in this context. There are lots of data mining methods and different tools have been used in source code comprehension in particular. We present in this paper a methodology to extract knowledge using data mining methods which would be very much useful for software maintenance. The data mining methods for Clustering, Classification and Association rules have been deployed for source code comprehension. Our approach is holistic in nature that covers many aspects required for software maintenance whereas approaches by other researchers cover a partial aspect in this context.