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dc.contributor.authorRobbes R
dc.contributor.authorRöthlisberger D
dc.contributor.editor
dc.date.accessioned2018-05-25T14:40:39Z
dc.date.available2018-05-25T14:40:39Z
dc.date.issued2013
dc.identifier.isbn978-1-4673-2936-1
dc.identifier.urihttp://dx.doi.org/10.1109/MSR.2013.6624041
dc.identifier.urihttps://dl.acm.org/citation.cfm?id=2487141
dc.identifier.urihttp://hdl.handle.net/10863/4872
dc.description.abstractThe expertise of a software developer is said to be a crucial factor for the development time required to complete a task. Even if this hypothesis is intuitive, research has not yet quantified the effect of developer expertise on development time. A related problem is that the design space for expertise metrics is large; out of the various automated expertise metrics proposed, we do not know which metric most reliably captures expertise. What prevents a proper evaluation of expertise metrics and their relation with development time is the lack of data on development tasks, such as their precise duration. Fortunately, this data is starting to become available in the form of growing developer interaction repositories. We show that applying MSR techniques to these developer interaction repositories gives us the necessary tools to perform such an evaluation.en_US
dc.language.isoenen_US
dc.publisherIEEE Computer Societyen_US
dc.rights
dc.titleUsing developer interaction data to compare expertise metricsen_US
dc.typeBook chapteren_US
dc.date.updated2018-05-15T12:57:02Z
dc.publication.titleProceedings of the 10th Working Conference on Mining Software Repositories, MSR '13, San Francisco, CA, USA, May 18-19, 2013
dc.language.isiEN-GB
dc.description.fulltextopenen_US


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