Reconciling the past and the present: An empirical study on the application of source code transformations to automatically rejuvenate Java programs

Reno Dantas, Antonio Carvalho, Diego Marcilio, Luisa Fantin, Uriel Silva, Walter Lucas, R. Bonifácio
{"title":"Reconciling the past and the present: An empirical study on the application of source code transformations to automatically rejuvenate Java programs","authors":"Reno Dantas, Antonio Carvalho, Diego Marcilio, Luisa Fantin, Uriel Silva, Walter Lucas, R. Bonifácio","doi":"10.1109/SANER.2018.8330247","DOIUrl":null,"url":null,"abstract":"Software systems change frequently over time, either due to new business requirements or technology pressures. Programming languages evolve in a similar constant fashion, though when a language release introduces new programming constructs, older constructs and idioms might become obsolete. The coexistence between newer and older constructs leads to several problems, such as increased maintenance efforts and steeper learning curve for developers. In this paper we present a RASCAL Java transformation library that evolves legacy systems to use more recent programming language constructs (such as multi-catch and lambda expressions). In order to understand how relevant automatic software rejuvenation is, we submitted 2462 transformations to 40 open source projects via the GitHub pull request mechanism. Initial results show that simple transformations, for instance the introduction of the diamond operator, are more likely to be accepted than transformations that change the code substantially, such as refactoring enhanced for loops to the newer functional style.","PeriodicalId":6602,"journal":{"name":"2018 IEEE 25th International Conference on Software Analysis, Evolution and Reengineering (SANER)","volume":"23 1","pages":"497-501"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","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.2018.8330247","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

Abstract

Software systems change frequently over time, either due to new business requirements or technology pressures. Programming languages evolve in a similar constant fashion, though when a language release introduces new programming constructs, older constructs and idioms might become obsolete. The coexistence between newer and older constructs leads to several problems, such as increased maintenance efforts and steeper learning curve for developers. In this paper we present a RASCAL Java transformation library that evolves legacy systems to use more recent programming language constructs (such as multi-catch and lambda expressions). In order to understand how relevant automatic software rejuvenation is, we submitted 2462 transformations to 40 open source projects via the GitHub pull request mechanism. Initial results show that simple transformations, for instance the introduction of the diamond operator, are more likely to be accepted than transformations that change the code substantially, such as refactoring enhanced for loops to the newer functional style.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
调和过去和现在:对源代码转换应用程序自动恢复Java程序的实证研究
随着时间的推移,由于新的业务需求或技术压力,软件系统经常发生变化。编程语言以类似的恒定方式发展,尽管当语言版本引入新的编程结构时,旧的结构和习惯用法可能会过时。新旧结构之间的共存导致了一些问题,例如增加了维护工作,开发人员的学习曲线更陡峭。在本文中,我们提出了一个RASCAL Java转换库,它将遗留系统发展为使用更最新的编程语言结构(例如多捕获和lambda表达式)。为了了解自动软件复兴的相关程度,我们通过GitHub pull request机制向40个开源项目提交了2462个转换。最初的结果表明,简单的转换(例如引入菱形运算符)比实质性地改变代码的转换(例如将增强的for循环重构为更新的函数式风格)更容易被接受。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Exploring the integration of user feedback in automated testing of Android applications The Statechart Workbench: Enabling scalable software event log analysis using process mining Detecting code smells using machine learning techniques: Are we there yet? Classifying stack overflow posts on API issues Re-evaluating method-level bug prediction
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1