Print Email Facebook Twitter Assessment of Issue Handling Efficiency Title Assessment of Issue Handling Efficiency Author Luijten, B. Visser, J. Zaidman, A. Faculty Electrical Engineering, Mathematics and Computer Science Department Software Technology Date 2013-12-31 Abstract 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 Preprint accepted for publication in the proceedings of the 7th IEEE Working onference on Mining Software Repositories (MSR 2010), Cape Town (South Africa) 2-3 May, 2010 Subject defect resolutionissue mining To reference this document use: http://resolver.tudelft.nl/uuid:1be405fc-e6b4-4234-9175-ea55293b232f Publisher Delft University of Technology, Software Engineering Research Group ISSN 1872-5392 Source Technical Report Series TUD-SERG-2010-004 Part of collection Institutional Repository Document type report Rights © 2010 The Author(s) . Software Engineering Research Group, Department of Software Technology, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology Files PDF TUD-SERG-2010-004.pdf 1009.5 KB Close viewer /islandora/object/uuid:1be405fc-e6b4-4234-9175-ea55293b232f/datastream/OBJ/view