关键词: 软件复用,数据挖掘,邮件列表,软件问答

Abstract: Open source projects often provide mailing lists to help users better understand and use open source software.However,developers often spend a lot of time to retrieve the emails when they want to find a special answer,because there are a huge number of emails with unclear question and complex organization.User usually take a lot of email conversations before they get a right answer.In the paper,we proposed and implemented a question & answer information extraction approach based on open source software’s mailing list.It can automatically extract the question sentence and the corresponding best answer from the emails,which can help users search mailing list and learn open source software more effectively.We also did some experiments to verify the availability and the efficiency of our approach.

Key words: Software reuse,Data mining,Mailing list,Software question & answer