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Accelerating cross-project knowledge collaboration using collaborative filtering and social networks

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dc.contributor.author Ohira, Masao en
dc.contributor.author Ohsugi, Naoki en
dc.contributor.author Ohoka, Tetsuya en
dc.contributor.author Matsumoto, Ken-ichi en
dc.date.accessioned 2018-10-29T02:40:36Z en
dc.date.available 2018-10-29T02:40:36Z en
dc.date.issued 2005-05-17 en
dc.identifier.isbn 1595931236 en
dc.identifier.uri http://hdl.handle.net/10061/12719 en
dc.description MSR '05 : the 2005 international workshop on Mining software repositories, May 17, 2005, St. Louis, Missouri en
dc.description.abstract Vast numbers of free/open source software (F/OSS) development projects use hosting sites such as Java.net and Source-Forge.net. These sites provide each project with a variety of software repositories (e.g. repositories for source code sharing, bug tracking, discussions, etc.) as a media for communication and collaboration. They tend to focus on supporting rich collaboration among members in each project. However, a majority of hosted projects are relatively small projects consisting of few developers and often need more resources for solving problems. In order to support cross-project knowledge collaboration in F/OSS development, we have been developing tools to collect data of projects and developers at SourceForge, and to visualize the relationship among them using the techniques of collaborative filtering and social networks. The tools help a developer identify who should I ask? and what can I ask? and so on. In this paper, we report a case study of applying the tools to F/OSS projects data collected from SourceForge and how effective the tools can be used for helping cross-project knowledge collaboration. en
dc.language.iso en en
dc.publisher ACM en
dc.rights ACM New York, NY, USA c2005 en
dc.subject collaborative filtering en
dc.subject knowledge collaboration en
dc.subject social networks en
dc.subject visualization tool en
dc.title Accelerating cross-project knowledge collaboration using collaborative filtering and social networks en
dc.type.nii Conference Paper en
dc.textversion author en
dc.identifier.spage 1 en
dc.identifier.epage 5 en
dc.relation.doi 10.1145/1083142.1083163 en
dc.identifier.NAIST-ID 73292310 en


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