%0 Conference Proceedings %B 12th Working Conference on Mining Software Repositories (MSR 2015) %D 2015 %T A Dataset of High Impact Bugs: Manually-Classified Issue Reports %A Ohira, Masao %A Yutaro Kashiwa %A Yosuke Yamatani %A Hayato Yoshiyuki %A Yoshiya Maeda %A Nachai Limsettho %A Keisuke Fujino %A Hata, Hideaki %A Ihara, Akinori %A Kenichi Matsumoto %K ambari %K camel %K derby %K wicket %X The importance of supporting test and maintenance activities in software development has been increasing, since recent software systems have become large and complex. Although in the field of Mining Software Repositories (MSR) there are many promising approaches to predicting, localizing, and triaging bugs, most of them do not consider impacts of each bug on users and developers but rather treat all bugs with equal weighting, excepting a few studies on high impact bugs including security, performance, blocking, and so forth. To make MSR techniques more actionable and effective in practice, we need deeper understandings of high impact bugs. In this paper we introduced our dataset of high impact bugs which was created by manually reviewing four thousand issue reports in four open source projects (Ambari, Camel, Derby and Wicket). %B 12th Working Conference on Mining Software Repositories (MSR 2015) %I IEEE %8 05/2015 %U http://oss.sys.wakayama-u.ac.jp/publications/pman3.cgi?DOWNLOAD=141 %> https://flosshub.org/sites/flosshub.org/files/5594a518.pdf %0 Conference Paper %B Proceedings of the 2005 international workshop on Mining software repositories %D 2005 %T Accelerating cross-project knowledge collaboration using collaborative filtering and social networks %A Ohira, Masao %A Ohsugi, Naoki %A Ohoka, Tetsuya %A Matsumoto, Ken-ichi %K collaborative filtering %K developers %K knowledge collaboration %K projects %K social networks %K sourceforge %K visualization tool %X Vast numbers of free/open source software (F/OSS) development projects use hosting sites such as Java.net and SourceForge.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. %B Proceedings of the 2005 international workshop on Mining software repositories %S MSR '05 %I ACM %C New York, NY, USA %P 111-115 %@ 1-59593-123-6 %U http://doi.acm.org/10.1145/1082983.1083163 %R http://doi.acm.org/10.1145/1082983.1083163 %> https://flosshub.org/sites/flosshub.org/files/111Accelerating.pdf