UnityLint: A Bad Smell Detector for Unity

Matteo Bosco, Pasquale Cavoto, Augusto Ungolo, B. Muse, Foutse Khomh, Vittoria Nardone, M. D. Penta
{"title":"UnityLint: A Bad Smell Detector for Unity","authors":"Matteo Bosco, Pasquale Cavoto, Augusto Ungolo, B. Muse, Foutse Khomh, Vittoria Nardone, M. D. Penta","doi":"10.1109/ICPC58990.2023.00033","DOIUrl":null,"url":null,"abstract":"The video game industry is particularly rewarding as it represents a large portion of the software development market. However, working in this domain may be challenging for developers, not only because of the need for heterogeneous skills (from software design to computer graphics), but also for the limited body of knowledge in terms of good and bad design and development principles, and the lack of tool support to assist them. This tool demo proposes UnityLint, a tool able to detect 18 types of bad smells in Unity video games. UnityLint builds upon a previously-defined and validated catalog of bad smells for video games. The tool, developed in C# and available both as open-source and binary releases, is composed of (i) analyzers that extract facts from video game source code and metadata, and (ii) smell detectors that leverage detection rules to identify smells on top of the extracted facts.Tool: https://github.com/mdipenta/UnityCodeSmellAnalyzerTeaser Video: https://youtu.be/HooegxZ8H6g","PeriodicalId":376593,"journal":{"name":"2023 IEEE/ACM 31st International Conference on Program Comprehension (ICPC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE/ACM 31st International Conference on Program Comprehension (ICPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPC58990.2023.00033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The video game industry is particularly rewarding as it represents a large portion of the software development market. However, working in this domain may be challenging for developers, not only because of the need for heterogeneous skills (from software design to computer graphics), but also for the limited body of knowledge in terms of good and bad design and development principles, and the lack of tool support to assist them. This tool demo proposes UnityLint, a tool able to detect 18 types of bad smells in Unity video games. UnityLint builds upon a previously-defined and validated catalog of bad smells for video games. The tool, developed in C# and available both as open-source and binary releases, is composed of (i) analyzers that extract facts from video game source code and metadata, and (ii) smell detectors that leverage detection rules to identify smells on top of the extracted facts.Tool: https://github.com/mdipenta/UnityCodeSmellAnalyzerTeaser Video: https://youtu.be/HooegxZ8H6g
UnityLint:一个难闻的气味检测器的统一
电子游戏行业的回报尤其丰厚,因为它代表了软件开发市场的很大一部分。然而,在这个领域工作对开发人员来说可能是具有挑战性的,不仅因为需要异构的技能(从软件设计到计算机图形),而且还因为在好的和坏的设计和开发原则方面的知识体系有限,并且缺乏工具支持来帮助他们。这个工具演示提出了UnityLint,一个能够检测Unity视频游戏中18种不良气味的工具。UnityLint建立在之前定义和验证的电子游戏坏气味目录上。该工具是用c#开发的,有开源版本和二进制版本,由(i)从视频游戏源代码和元数据中提取事实的分析器和(ii)利用检测规则识别提取事实之上的气味检测器组成。工具:https://github.com/mdipenta/UnityCodeSmellAnalyzerTeaser视频:https://youtu.be/HooegxZ8H6g
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信