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P2 eFish'nSea: Unity Game Set for Learning Software Performance Issues Root Causes and Resolutions

eFish'nSea:用于学习软件性能问题根因与解决方案的 Unity 游戏集
ICSE Proceedings of the 46th International Conference on Software Engineering: Software Engineering Education and Training2024匹配度 1/10 · 该论文是关于用 Unity 游戏向非编程背景者普及软件性能问题根因与解决思路的教育类工作,与用户的静态分析、Agentic 程序、LLM 与程序分析交叉、浮点/贝叶斯程序分析等研究方向几乎没有交集。引用 1 inbox
Andrew Quinlan, Ryan Mercadante, Vincent Tufo, Jonathan Morrone, Lu Xiao
crossref: 2026-09-12dblp: 2026-09-12

AI 速览

一句话:推出八款 Unity 游戏 eFish'nSea,将八类软件性能问题的根因与解决方案映射为游戏机制,帮助非编程背景者建立性能意识。

已有研究总结了八种反复出现的软件性能问题及其根因与解决方案。对于没有较强编程背景的人,理解这些概念有助于形成“性能感知”的通用问题解决思维,并为后续相关学习做准备。本文向社区分享一套名为 eFish'nSea 的八款 Unity 游戏,每款游戏对应一种性能问题类型,通过有趣且易于理解的游戏机制传达技术概念,并根据玩家在游戏中的表现反馈其“效率”高低。作者进行了压力测试,并开展了多次实际游戏教学环节,初步结果表明该游戏集在实现上述目标方面具有良好前景。

问题
非编程背景者也需要理解常见软件性能问题的根因与解决方案,以形成性能感知思维,但相关技术概念通常抽象且难以直接讲授。
方法
设计并实现八款 Unity 游戏 eFish'nSea,每款对应一类软件性能问题,通过游戏机制传达概念,并向玩家提供其游戏过程效率的反馈。
评估
对游戏集进行压力测试,并组织多次实际游戏教学环节,初步验证其学习效果与应用前景。
原文摘要(Abstract)

Prior research has revealed eight recurring types of software performance issues, their root causes, and resolutions. People who do not have a strong programming background may benefit from learning about these concepts to form “performance-aware” thinking in general problem-solving and also prepare them for future studies in related fields. This paper intends to share a set of eight Unity games, named eFish 'nSea, with the community to generate broader impacts. Each game maps to one of the eight performance issue types, conveying the technical concepts through fun and easy-to-capture game mechanisms, and providing feedback to players regarding how “efficient” they played the games. The authors have conducted stress testing and delivered several practical sessions of the games, showing great promise in the indicated intention.

链接与引用

DOI 原文 · DBLP

BibTeX
@inproceedings{QuinlanMTMX24,
  title = {eFish'nSea: Unity Game Set for Learning Software Performance Issues Root Causes and Resolutions},
  author = {Andrew Quinlan and Ryan Mercadante and Vincent Tufo and Jonathan Morrone and Lu Xiao},
  booktitle = {ICSE},
  year = {2024},
  doi = {10.1145/3639474.3640066}
}