Debugging strategies and tactics in a multi-representation software environment
International Journal of Human-Computer Studies
Finding Gender Differences in End-User Debugging: A Data Mining Approach
VLHCC '07 Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing
Males' and Females' Script Debugging Strategies
IS-EUD '09 Proceedings of the 2nd International Symposium on End-User Development
The state of the art in end-user software engineering
ACM Computing Surveys (CSUR)
End-user debugging strategies: A sensemaking perspective
ACM Transactions on Computer-Human Interaction (TOCHI)
Hi-index | 0.00 |
We have been working to uncover gender differences in the ways males and females problem solve in end-user programming situations, and have discovered differences in males' versus females' use of several debugging features. Still, because this line of investigation is new, knowing exactly what to look for is difficult and important information could escape our notice. We therefore decided to bring data mining techniques to bear on our data, with two aims: primarily, to expand what is known about how males versus females make use of end-user debugging features, and secondarily, to find out whether data mining could bring new understanding to this research, given that we had already studied the data manually using qualitative and quantitative methods. The results suggested several new hypotheses in how males versus females go about end-user debugging tasks, the factors that play into their choices, and how their choices are associated with success.