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Finding Gender Differences in End-User Debugging: A Data Mining Approach

10 years 3 months ago
Finding Gender Differences in End-User Debugging: A Data Mining Approach
We are currently investigating what types of end user personas (or homogeneous groups in the population) exist and what works for or hinders each in end-user debugging. These personas will be determined using data mining methods such as cluster analysis to see how static (background and self-efficacy), behavioral, and success variables interact for each cluster of users. This research will help provide a better understanding of the needs of end users and the tools that are necessary for supporting both male and females in debugging tasks.
Valentina Grigoreanu
Added 04 Jun 2010
Updated 04 Jun 2010
Type Conference
Year 2007
Where VL
Authors Valentina Grigoreanu
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