科学家如何开发科学软件?外部复制

G. Pinto, I. Wiese, Luiz Felipe Dias
{"title":"科学家如何开发科学软件?外部复制","authors":"G. Pinto, I. Wiese, Luiz Felipe Dias","doi":"10.1109/SANER.2018.8330263","DOIUrl":null,"url":null,"abstract":"Although the goal of scientists is to do science, not to develop software, many scientists have extended their roles to include software development to their skills. However, since scientists have different background, it remains unclear how do they perceive software engineering practices or how do they acquire software engineering knowledge. In this paper we conducted an external replication of one influential 10 years paper about how scientists develop and use scientific software. In particular, we employed the same method (an on-line questionnaire) in a different population (R developers). When analyzing the more than 1,574 responses received, enriched with data gathered from their GitHub repositories, we correlated our findings with the original study. We found that the results were consistent in many ways, including: (1) scientists that develop software work mostly alone, (2) they decide themselves what they want to work on next, and (3) most of what they learnt came from self-study, rather than a formal education. However, we also uncover new facts, such as: some of the \"pain points\" regarding software development are not related to technical activities (e.g., interruptions, lack of collaborators, and lack of a reward system play a role). Our replication can help researchers, practitioners, and educators to better focus their efforts on topics that are important to the scientific community that develops software.","PeriodicalId":6602,"journal":{"name":"2018 IEEE 25th International Conference on Software Analysis, Evolution and Reengineering (SANER)","volume":"9 1","pages":"582-591"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"How do scientists develop scientific software? An external replication\",\"authors\":\"G. Pinto, I. Wiese, Luiz Felipe Dias\",\"doi\":\"10.1109/SANER.2018.8330263\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Although the goal of scientists is to do science, not to develop software, many scientists have extended their roles to include software development to their skills. However, since scientists have different background, it remains unclear how do they perceive software engineering practices or how do they acquire software engineering knowledge. In this paper we conducted an external replication of one influential 10 years paper about how scientists develop and use scientific software. In particular, we employed the same method (an on-line questionnaire) in a different population (R developers). When analyzing the more than 1,574 responses received, enriched with data gathered from their GitHub repositories, we correlated our findings with the original study. We found that the results were consistent in many ways, including: (1) scientists that develop software work mostly alone, (2) they decide themselves what they want to work on next, and (3) most of what they learnt came from self-study, rather than a formal education. However, we also uncover new facts, such as: some of the \\\"pain points\\\" regarding software development are not related to technical activities (e.g., interruptions, lack of collaborators, and lack of a reward system play a role). Our replication can help researchers, practitioners, and educators to better focus their efforts on topics that are important to the scientific community that develops software.\",\"PeriodicalId\":6602,\"journal\":{\"name\":\"2018 IEEE 25th International Conference on Software Analysis, Evolution and Reengineering (SANER)\",\"volume\":\"9 1\",\"pages\":\"582-591\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"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.2018.8330263\",\"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.2018.8330263","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20

摘要

虽然科学家的目标是做科学,而不是开发软件,但许多科学家已经扩展了他们的角色,将软件开发包括到他们的技能中。然而,由于科学家有不同的背景,他们如何理解软件工程实践或者他们如何获得软件工程知识仍然不清楚。在本文中,我们对一篇关于科学家如何开发和使用科学软件的有影响力的10年论文进行了外部复制。特别是,我们在不同的人群(R开发人员)中采用了相同的方法(在线问卷调查)。在分析收到的超过1574份回复时,我们将我们的发现与原始研究联系起来,并从他们的GitHub存储库中收集了丰富的数据。我们发现结果在很多方面是一致的,包括:(1)开发软件的科学家大多是独自工作的,(2)他们自己决定下一步要做什么,(3)他们学到的大部分知识来自自学,而不是正规教育。然而,我们也发现了新的事实,例如:关于软件开发的一些“痛点”与技术活动无关(例如,中断,缺乏合作者,以及缺乏发挥作用的奖励系统)。我们的复制可以帮助研究人员、实践者和教育者更好地将他们的努力集中在对开发软件的科学社区很重要的主题上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
How do scientists develop scientific software? An external replication
Although the goal of scientists is to do science, not to develop software, many scientists have extended their roles to include software development to their skills. However, since scientists have different background, it remains unclear how do they perceive software engineering practices or how do they acquire software engineering knowledge. In this paper we conducted an external replication of one influential 10 years paper about how scientists develop and use scientific software. In particular, we employed the same method (an on-line questionnaire) in a different population (R developers). When analyzing the more than 1,574 responses received, enriched with data gathered from their GitHub repositories, we correlated our findings with the original study. We found that the results were consistent in many ways, including: (1) scientists that develop software work mostly alone, (2) they decide themselves what they want to work on next, and (3) most of what they learnt came from self-study, rather than a formal education. However, we also uncover new facts, such as: some of the "pain points" regarding software development are not related to technical activities (e.g., interruptions, lack of collaborators, and lack of a reward system play a role). Our replication can help researchers, practitioners, and educators to better focus their efforts on topics that are important to the scientific community that develops software.
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
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