JDeodorant的十年:寻找气味的经验教训

Nikolaos Tsantalis, Theodoros Chaikalis, A. Chatzigeorgiou
{"title":"JDeodorant的十年:寻找气味的经验教训","authors":"Nikolaos Tsantalis, Theodoros Chaikalis, A. Chatzigeorgiou","doi":"10.1109/SANER.2018.8330192","DOIUrl":null,"url":null,"abstract":"Deodorants are different from perfumes, because they are applied directly on body and by killing bacteria they reduce odours and offer a refreshing fragrance. That was our goal when we first thought about \"bad smells\" in code: to develop techniques for effectively identifying and removing (i.e., deodorizing) code smells from object-oriented software. JDeodorant encompasses a number of techniques for suggesting and automatically applying refactoring opportunities on Java source code, in a way that requires limited effort on behalf of the developer. In contrast to other approaches that rely on generic strategies that can be adapted to various smells, JDeodorant adopts ad-hoc strategies for each smell considering the particular characteristics of the underlying design or code problem. In this retrospective paper, we discuss the impact of JDeodorant over the last ten years and a number of tools and techniques that have been developed for a similar purpose which either compare their results with JDeodorant or have built on top of JDeodorant. Finally, we discuss the empirical findings from a number of studies that employed JDeodorant to extract their datasets.","PeriodicalId":6602,"journal":{"name":"2018 IEEE 25th International Conference on Software Analysis, Evolution and Reengineering (SANER)","volume":"1 1","pages":"4-14"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"37","resultStr":"{\"title\":\"Ten years of JDeodorant: Lessons learned from the hunt for smells\",\"authors\":\"Nikolaos Tsantalis, Theodoros Chaikalis, A. Chatzigeorgiou\",\"doi\":\"10.1109/SANER.2018.8330192\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Deodorants are different from perfumes, because they are applied directly on body and by killing bacteria they reduce odours and offer a refreshing fragrance. That was our goal when we first thought about \\\"bad smells\\\" in code: to develop techniques for effectively identifying and removing (i.e., deodorizing) code smells from object-oriented software. JDeodorant encompasses a number of techniques for suggesting and automatically applying refactoring opportunities on Java source code, in a way that requires limited effort on behalf of the developer. In contrast to other approaches that rely on generic strategies that can be adapted to various smells, JDeodorant adopts ad-hoc strategies for each smell considering the particular characteristics of the underlying design or code problem. In this retrospective paper, we discuss the impact of JDeodorant over the last ten years and a number of tools and techniques that have been developed for a similar purpose which either compare their results with JDeodorant or have built on top of JDeodorant. Finally, we discuss the empirical findings from a number of studies that employed JDeodorant to extract their datasets.\",\"PeriodicalId\":6602,\"journal\":{\"name\":\"2018 IEEE 25th International Conference on Software Analysis, Evolution and Reengineering (SANER)\",\"volume\":\"1 1\",\"pages\":\"4-14\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"37\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 25th International Conference on Software Analysis, Evolution and Reengineering (SANER)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SANER.2018.8330192\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 25th International Conference on Software Analysis, Evolution and Reengineering (SANER)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SANER.2018.8330192","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 37

摘要

除臭剂不同于香水,因为它们直接涂抹在身体上,通过杀死细菌来减少气味,提供一种清新的香味。当我们第一次想到代码中的“难闻气味”时,这就是我们的目标:开发技术来有效地识别和去除(即除臭)面向对象软件中的代码气味。JDeodorant包含了许多建议和自动应用Java源代码重构机会的技术,以一种对开发人员要求有限的方式。与其他依赖于可适应各种气味的通用策略的方法不同,JDeodorant根据底层设计或代码问题的特定特征,对每种气味采用特殊策略。在这篇回顾性的论文中,我们讨论了JDeodorant在过去十年中的影响,以及为类似目的而开发的一些工具和技术,这些工具和技术要么将它们的结果与JDeodorant进行比较,要么构建在JDeodorant之上。最后,我们讨论了一些使用JDeodorant提取数据集的研究的实证结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ten years of JDeodorant: Lessons learned from the hunt for smells
Deodorants are different from perfumes, because they are applied directly on body and by killing bacteria they reduce odours and offer a refreshing fragrance. That was our goal when we first thought about "bad smells" in code: to develop techniques for effectively identifying and removing (i.e., deodorizing) code smells from object-oriented software. JDeodorant encompasses a number of techniques for suggesting and automatically applying refactoring opportunities on Java source code, in a way that requires limited effort on behalf of the developer. In contrast to other approaches that rely on generic strategies that can be adapted to various smells, JDeodorant adopts ad-hoc strategies for each smell considering the particular characteristics of the underlying design or code problem. In this retrospective paper, we discuss the impact of JDeodorant over the last ten years and a number of tools and techniques that have been developed for a similar purpose which either compare their results with JDeodorant or have built on top of JDeodorant. Finally, we discuss the empirical findings from a number of studies that employed JDeodorant to extract their datasets.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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