文档介绍：Table of Contents ? Background Information ? Problems Addressed ? Motivation ? Data Gathered ? Conclusion ? Personal Thoughts ? Question ments Background Information ? Data mining for es from a single source of data ? Results can be applied to Libre Software ? Look at separately: ? Mailing Lists ? Bug Repositories Background Information ? Libre Software shows Pareto law for commits: ? For each major artifact, 20% of developers are shown to contribute 80% of the activity in it. Problems Addressed ? Are the people mit so much in one artifact the same people in the other artifact? ? People use different identities in each artifact ? Current mining techniques focus on one artifact so cannot tell who is who Motivation ? To gain insight into the work and structure of libre software projects ? To find all the identities that correspond to one person ? Focus more on data analysis rather than the extraction process Data Gathered ? Actor has access to Figure artifacts ? Alternate rules for each artifact Data Gathered ? Actor can post on more than one mailing list: ******@ca. ******@ca. ? Source Files can appear with many identities: Brian Chan Brian bchan ? Interaction with versioning repository occurs through account in server machine ? Bug tracking systems require email address: . Bugzilla Data Gathered ? Primary Figure ? Required Information ? Secondary ? Not Required for the transaction . name in email Data Gathered (cont ’ d) ? Automated process extracts data into data repository Figure Data Gathered ? Sources Table: ? Lists where id information was originally extracted: . bugreport230 ? Identification Table: ? Identity ? Id key to Source table