Visible to the public Preliminary Analysis of Code Hunt Data Set from a ContestConflict Detection Enabled

TitlePreliminary Analysis of Code Hunt Data Set from a Contest
Publication TypeConference Paper
Year of Publication2016
AuthorsPierre McCauley, University of Illinois at Urbana-Champaign, Brandon Nsiah-Ababio, University of Illinois at Urbana-Champaign, Joshua Reed, University of Illinois at Urbana-Champaign, Faramola Isiaka, University of Illinois at Urbana-Champaign, Tao Xie, University of Illinois at Urbana-Champaign
Conference Name2nd International Code Hunt Workshop on Educational Software Engineering (CHESE 2016)
Date Published11/2016
Conference LocationSeattle, WA
KeywordsCode Hunt, educational software engineering, NSA SoS Lablets Materials, Science of Human Circumvention of Security, science of security, UIUC
Abstract

Code Hunt (https://www.codehunt.com/) from Microsoft Research is a web-based serious gaming platform being popularly used for various programming contests. In this paper, we demonstrate preliminary statistical analysis of a Code Hunt data set that contains the programs written by students (only) worldwide during a contest over 48 hours. There are 259 users, 24 puzzles (organized into 4 sectors), and about 13,000 programs submitted by these users. Our analysis results can help improve the creation of puzzles in a future contest.

URLhttp://publish.illinois.edu/science-of-security-lablet/files/2014/05/Preliminary-Analysis-of-Code-Hu...
Citation Keynode-30006

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Preliminary Analysis of Code Hunt Data Set from a Contest
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