%0 Conference Proceedings %B 10th Working Conference on Mining Software Repositories %D 2013 %T The Maven Repository Dataset of Metrics, Changes, and Dependencies %A Steven Raemaekers %A van Deursen, Arie %A Visser, Joost %K maven %X We present the Maven Dependency Dataset (MDD), containing metrics, changes and dependencies of 148,253 jar files. Metrics and changes have been calculated at the level of individual methods, classes and packages of multiple library versions. A complete call graph is also presented which includes call, inheritance, containment and historical relationships between all units of the entire repository. In this paper, we describe our dataset and the methodology used to obtain it. We present different conceptual views of MDD and we also describe limitations and data quality issues that researchers using this data should be aware of. http://data.3tu.nl/repository/uuid:68a0e837-4fda-407a-949e-a159546e67b6 %B 10th Working Conference on Mining Software Repositories %8 05/2013 %U http://data.3tu.nl/repository/uuid:68a0e837-4fda-407a-949e-a159546e67b6 %R dx.doi.org/10.4121/uuid:68a0e837-4fda-407a-949e-a159546e67b6 %0 Conference Paper %B 2010 7th IEEE Working Conference on Mining Software Repositories (MSR 2010)2010 7th IEEE Working Conference on Mining Software Repositories (MSR 2010) %D 2010 %T Assessment of issue handling efficiency %A Luijten, Bart %A Visser, Joost %A Zaidman, Andy %K bug reports %K bug tracking %K classification %K gnome %K msr challenge %K visualization %X We mined the issue database of GNOME to assess how issues are handled. How many issues are submitted and resolved? Does the backlog grow or decrease? How fast are issues resolved? Does issue resolution speed increase or decrease over time? In which subproject are issues handled most efficiently? To answer such questions, we apply several visualization and quantification instruments to the raw issue data. In particular, we aggregate issues into four risk categories, based on their resolution time. These categories are the basis both for visualizing and ranking, which are used in concert for issue database exploration. %B 2010 7th IEEE Working Conference on Mining Software Repositories (MSR 2010)2010 7th IEEE Working Conference on Mining Software Repositories (MSR 2010) %I IEEE %C Cape Town, South Africa %P 94 - 97 %@ 978-1-4244-6802-7 %R 10.1109/MSR.2010.5463292 %> https://flosshub.org/sites/flosshub.org/files/94bluijtenMSR2010.pdf