A First Look at Information Highlighting in Stack Overflow Answers

Shahla Shaan Ahmed, Shaowei Wang, Haoxiang Zhang, T. Chen, Yuan Tian
{"title":"A First Look at Information Highlighting in Stack Overflow Answers","authors":"Shahla Shaan Ahmed, Shaowei Wang, Haoxiang Zhang, T. Chen, Yuan Tian","doi":"10.1109/ICSME55016.2022.00041","DOIUrl":null,"url":null,"abstract":"Technical question and answer (Q&A) sites such as Stack Overflow (SO) have become increasingly important for software developers to share knowledge and contribute to communities. Despite their success and prevalence, navigating the knowledge on these sites remains challenging. To make the posts vivid to users, the Stack Overflow platform allows users to write and edit posts with Markdown or HTML, so that users can leverage various formatting styles (e.g., bold, italic, and code) to highlight the important information.In this study, we carry out the first large-scale exploratory study on the information highlighting in SO answers. We observe that overall, information highlighting is prevalent on SO, i.e., 47.6% of the answers have information highlighted. More specifically, 38.5%, 11.3%, 7.2% of the answers use Code, Bold, and Italic, respectively. Besides source code related content (e.g., identifiers, and programming keywords), users also frequently highlight updates (e.g., updates of answers), caveats (i.e., a reminder or warn of in which context or condition the provided solution works or does not work), and reference. Our findings provide insights for future research, e.g., future research should consider the highlighted content for the downstream tasks that leverage information from the SO answers.","PeriodicalId":300084,"journal":{"name":"2022 IEEE International Conference on Software Maintenance and Evolution (ICSME)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Software Maintenance and Evolution (ICSME)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSME55016.2022.00041","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

Technical question and answer (Q&A) sites such as Stack Overflow (SO) have become increasingly important for software developers to share knowledge and contribute to communities. Despite their success and prevalence, navigating the knowledge on these sites remains challenging. To make the posts vivid to users, the Stack Overflow platform allows users to write and edit posts with Markdown or HTML, so that users can leverage various formatting styles (e.g., bold, italic, and code) to highlight the important information.In this study, we carry out the first large-scale exploratory study on the information highlighting in SO answers. We observe that overall, information highlighting is prevalent on SO, i.e., 47.6% of the answers have information highlighted. More specifically, 38.5%, 11.3%, 7.2% of the answers use Code, Bold, and Italic, respectively. Besides source code related content (e.g., identifiers, and programming keywords), users also frequently highlight updates (e.g., updates of answers), caveats (i.e., a reminder or warn of in which context or condition the provided solution works or does not work), and reference. Our findings provide insights for future research, e.g., future research should consider the highlighted content for the downstream tasks that leverage information from the SO answers.
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
堆栈溢出答案中的信息高亮的第一眼
像Stack Overflow (SO)这样的技术问答网站对于软件开发人员分享知识和为社区做贡献已经变得越来越重要。尽管这些网站取得了成功和普及,但在这些网站上浏览知识仍然具有挑战性。为了让帖子对用户生动,Stack Overflow平台允许用户使用Markdown或HTML编写和编辑帖子,这样用户就可以利用各种格式样式(例如,粗体、斜体和代码)来突出重要信息。在本研究中,我们对SO答案中的信息突出进行了首次大规模的探索性研究。我们观察到,总体而言,信息突出在SO上很普遍,即47.6%的答案有信息突出。更具体地说,38.5%、11.3%、7.2%的答案分别使用了代码、粗体和斜体。除了与源代码相关的内容(例如,标识符和编程关键字),用户还经常突出显示更新(例如,答案的更新)、警告(例如,提示或警告所提供的解决方案在哪个上下文或条件下工作或不工作)和参考。我们的发现为未来的研究提供了见解,例如,未来的研究应该考虑利用SO答案信息的下游任务的突出内容。
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
RestTestGen: An Extensible Framework for Automated Black-box Testing of RESTful APIs COBREX: A Tool for Extracting Business Rules from COBOL On the Security of Python Virtual Machines: An Empirical Study The Phantom Menace: Unmasking Security Issues in Evolving Software Impact of Defect Instances for Successful Deep Learning-based Automatic Program Repair
×
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