初步分析代码搜索数据集从一个比赛

Proceedings of the 2nd International Code Hunt Workshop on Educational Software Engineering Pub Date : 2016-11-14 DOI:10.1145/2993270.2993272

Pierre McCauley, Brandon Nsiah-Ababio, J. Reed, Faramola Isiaka, Tao Xie

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引用次数: 1

摘要

来自微软研究院的Code Hunt (https://www.codehunt.com/)是一个基于web的严肃游戏平台，广泛用于各种编程竞赛。在本文中，我们演示了对代码搜索数据集的初步统计分析，该数据集包含了在48小时的比赛中由全球学生(仅限)编写的程序。有259个用户，24个谜题(分为4个部门)，这些用户提交的程序约有13000个。我们的分析结果可以帮助在未来的比赛中改进谜题的创作。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Preliminary analysis of code hunt data set from a contest

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.

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Proceedings of the 2nd International Code Hunt Workshop on Educational Software Engineering

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