Kenyon-Web: Reconfigurable Web-Based Feature Extractor
ICPC: 2009 IEEE 17TH INTERNATIONAL CONFERENCE ON PROGRAM COMPREHENSION(2009)
摘要
Research on Mining Software Repositories (MSR) has yielded fruitful results in many Software Engineering areas including software change comprehension, bug prediction, and developer network recovery. When performing MSR research, the first task is to extract features corresponding to source code details from repositories. Since reusable feature extraction tools are not available, each MSR research group builds their own extraction tool, a duplication of effort.We introduce a reusable feature extractor, Kenyon-web, for MSR research. Kenyon-web is fully reconfigurable, pluggable, and serves most MSR related tasks. In this report, we show the architecture of Kenyon-web and demonstrate its utility by showcasing a sample MSR task.
更多查看译文
关键词
data mining,software maintenance,computer architecture,source code,software engineering,java,dbms,feature extraction,internet,web pages,classification algorithms,database management systems,history,database systems,software architecture,database management system
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要