Mind the Gap: Can and Should Software Engineering Data Sharing Become a Path of Less Resistance?

K. Wallace
{"title":"Mind the Gap: Can and Should Software Engineering Data Sharing Become a Path of Less Resistance?","authors":"K. Wallace","doi":"10.1145/3183519.3183541","DOIUrl":null,"url":null,"abstract":"The facility to process data is, arguably, the defining capability underpinning the transformative power of software: the relationships of each to the other are deep and extensive. This is reflected in the degree to which both software engineering practitioners and researchers rely upon data to direct their endeavours. Ironically however, while both the industrial and research communities are dependent upon data these dependencies present a dichotomy. Practitioners can suffer an abundance of data, much of it dark, which they struggle to interpret and apply beneficially. Isolated by gaps between industry and academia researchers often find themselves lacking data, watching as their industrial counterparts pursue a different and distinct course of action. Integrating evidence with experience gained in practice and through engagement with research this talk offers an industrial perspective on whether this situation can be improved upon; and what the benefits of achieving this outcome, particularly for practitioners, might be.","PeriodicalId":445513,"journal":{"name":"2018 IEEE/ACM 40th International Conference on Software Engineering: Software Engineering in Practice Track (ICSE-SEIP)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE/ACM 40th International Conference on Software Engineering: Software Engineering in Practice Track (ICSE-SEIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3183519.3183541","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 facility to process data is, arguably, the defining capability underpinning the transformative power of software: the relationships of each to the other are deep and extensive. This is reflected in the degree to which both software engineering practitioners and researchers rely upon data to direct their endeavours. Ironically however, while both the industrial and research communities are dependent upon data these dependencies present a dichotomy. Practitioners can suffer an abundance of data, much of it dark, which they struggle to interpret and apply beneficially. Isolated by gaps between industry and academia researchers often find themselves lacking data, watching as their industrial counterparts pursue a different and distinct course of action. Integrating evidence with experience gained in practice and through engagement with research this talk offers an industrial perspective on whether this situation can be improved upon; and what the benefits of achieving this outcome, particularly for practitioners, might be.
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
注意差距:软件工程数据共享是否应该成为一条阻力更小的道路?
可以说,处理数据的能力是支撑软件变革力量的决定性能力:两者之间的关系是深刻而广泛的。这反映在软件工程从业者和研究人员依赖数据来指导他们的工作的程度上。然而,具有讽刺意味的是,虽然工业界和研究界都依赖于数据,但这些依赖关系呈现出一种二分法。从业者可能会遭受大量的数据,其中大部分是黑暗的,他们很难解释和有益地应用这些数据。由于工业界和学术界之间的差距,研究人员经常发现自己缺乏数据,看着他们的工业界同行采取不同的、截然不同的行动方针。将证据与实践中获得的经验结合起来,并通过参与研究,这次演讲提供了一个工业角度来看待这种情况是否可以改善;以及实现这一结果的好处,特别是对从业者来说。
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
Modern Code Review: A Case Study at Google A Study of the Organizational Dynamics of Software Teams Echoes from Space: Grouping Commands with Large-Scale Telemetry Data Practical Selective Regression Testing with Effective Redundancy in Interleaved Tests Mind the Gap: Can and Should Software Engineering Data Sharing Become a Path of Less Resistance?
×
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