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2011 IEEE Symposium on Visual Languages and Human-Centric Computing An Investigation of Non-Programmers ’ Performance with Tools to Support Output Localization
BibTeX
@MISC{Gross_2011ieee,
author = {Paul Gross and Caitlin Kelleher and Jennifer Yang},
title = {2011 IEEE Symposium on Visual Languages and Human-Centric Computing An Investigation of Non-Programmers ’ Performance with Tools to Support Output Localization},
year = {}
}
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Abstract
Abstract — The wealth of code available through the web has the potential to dramatically change the way we learn to program. This includes inexperienced programmers, who may struggle to find code in example programs that relate to observable program features. We present a comparative study of three tools for assisting non-programmers with finding program code corresponding to a program’s graphical output. From this study we also identify a model which captures the goals inherent in non-programmers ’ code search processes for this type of search task. Our results suggest a global pause marker may be an effective tool to support non-programmers ’ search.
Keyphrases
support output localization human-centric computing non-programmers performance ieee symposium visual language search task non-programmers code search effective tool program graphical output program code non-programmers search example program observable program feature inexperienced programmer global pause marker comparative study
