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DTSTART:20190310T070000
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DTSTART:20181104T060000
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DTSTART;TZID=America/Toronto:20190816T133000
SEQUENCE:0
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URL:https://uwaterloo.ca/artificial-intelligence-group/events/masters-thesi
 s-presentation-predicting-repository-upkeep
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2314 Waterloo ON N2L 3G1 Canada
SUMMARY:Master’s Thesis Presentation: Predicting Repository Upkeep with\n
 Textual Personality Analysis
CLASS:PUBLIC
DESCRIPTION:ALEXANDER SACHS\, MASTER’S CANDIDATE\n_David R. Cheriton Scho
 ol of Computer Science_\n\nGitHub is an excellent democratic source of sof
 tware. Unlike\ntraditional work groups however\, GitHub repositories are p
 rimarily\nanonymous and virtual. Traditional strategies for improving the\
 nproductivity of a work group often include external consultation\nagencie
 s that do in-person interviews. The resulting data from these\ninterviews 
 are then reviewed and their recommendations provided. In\nthe online world
  however\, where colleagues are often anonymous and\ngeographically disper
 sed\, it is often impossible to apply such\napproaches.
DTSTAMP:20260318T213753Z
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