Algorithm Visualization: The State of the Field
Algorithm Visualization: The State of the Field
复制标题
算法可视化：该领域的现状
DOI：
10.1145/1821996.1821997
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发表时间：
2010
期刊：
影响因子：
--
通讯作者：
S. Edwards
中科院分区：
文献类型：
--
作者：
C. Shaffer;Matthew L. Cooper;Alexander Joel D. Alon;Monika Akbar;Michael Stewart;Sean P. Ponce;S. Edwards
我们基于对 500 多个 AV 集合的分析，提出了有关算法可视化 (AV) 领域现状的研究结果。我们研究反病毒如何在主题之间分布、创建者和时间、它们的整体质量以及它们是如何传播的。确实存在一批优秀的 AV 和活跃的开发人员。不幸的是，我们发现许多 AV 的质量都很低，而且报道偏向于一些更简单的主题。这可能会让教师很难找到他们需要的东西。目前没有有效的反病毒存储库，这使得许多反病毒面临随着时间的推移而在社区中丢失的风险。因此，该领域似乎需要在传播材料、传播已知最佳实践以及向开发人员通报主题覆盖方面进行改进。通过建立社区并改善 AV 用户和开发人员之间的沟通可以减轻这些担忧。
We present findings regarding the state of the field of Algorithm Visualization (AV) based on our analysis of a collection of over 500 AVs. We examine how AVs are distributed among topics, who created them and when, their overall quality, and how they are disseminated. There does exist a cadre of good AVs and active developers. Unfortunately, we found that many AVs are of low quality, and coverage is skewed toward a few easier topics. This can make it hard for instructors to locate what they need. There are no effective repositories of AVs currently available, which puts many AVs at risk for being lost to the community over time. Thus, the field appears in need of improvement in disseminating materials, propagating known best practices, and informing developers about topic coverage. These concerns could be mitigated by building community and improving communication among AV users and developers.