跨大陆分析如何区域线索塑造顶部堆栈溢出贡献者

IF 3.7 2区 计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Elijah Zolduoarrati , Sherlock A. Licorish , John Grundy
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引用次数: 0

摘要

Stack Overflow为软件开发人员提供了宝贵的知识,但研究表明,数字信息往往在地理上聚集,限制了获取创新所需知识的途径。本研究探讨了美国、巴西、印度、埃及、英国和澳大利亚的Stack Overflow上的顶级贡献者的帖子。我们分析平台活动,进行社会网络分析,采用主题建模与主题分析相结合的方法,然后通过定向内容分析剖析其知识共享模式。研究结果表明,文化因素、创业活动、技术生态系统成熟度以及地区劳动力多样性影响了高贡献者的贡献。例如,个人主义的用户直接交流,而集体主义的用户更喜欢微妙的交流和社会情感暗示。此外,新兴技术生态系统中的顶级贡献者更有可能讨论基本概念,而成熟生态系统中的顶级贡献者则专注于专门的利基。这项研究揭示了人类方面的多样性如何影响CQA设置的动态,未来的研究人员可以解释潜在的背景因素影响用户贡献和社区结构的程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A cross-continental analysis of how regional cues shape top stack overflow contributors
Stack Overflow offers valuable knowledge for software developers, but studies suggest digital information tends to cluster geographically, limiting access to necessary knowledge for innovation. This study explores posts of top contributors on Stack Overflow across the United States, Brazil, India, Egypt, the United Kingdom, and Australia. We analyse platform activities, conduct social network analysis, employ topic modelling paired with thematic analysis, before dissecting their knowledge sharing patterns via directed content analysis. Results indicate that cultural factors, entrepreneurial activities, tech ecosystem maturity, as well as workforce diversity in a region were found to shape how top contributors contribute. For instance, individualistic users communicate directly whilst collectivistic users prefer subtle communication and socio-emotional cues. Moreover, top contributors in nascent technology ecosystems were more likely to discuss fundamental concepts, while those in mature ecosystems focus on specialised niches. This study sheds light on how diversity in human aspects may influence the dynamics of CQA settings, where future researchers can explicate the extent of which latent contextual factors affect user contributions and community structure.
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来源期刊
Journal of Systems and Software
Journal of Systems and Software 工程技术-计算机:理论方法
CiteScore
8.60
自引率
5.70%
发文量
193
审稿时长
16 weeks
期刊介绍: The Journal of Systems and Software publishes papers covering all aspects of software engineering and related hardware-software-systems issues. All articles should include a validation of the idea presented, e.g. through case studies, experiments, or systematic comparisons with other approaches already in practice. Topics of interest include, but are not limited to: •Methods and tools for, and empirical studies on, software requirements, design, architecture, verification and validation, maintenance and evolution •Agile, model-driven, service-oriented, open source and global software development •Approaches for mobile, multiprocessing, real-time, distributed, cloud-based, dependable and virtualized systems •Human factors and management concerns of software development •Data management and big data issues of software systems •Metrics and evaluation, data mining of software development resources •Business and economic aspects of software development processes The journal welcomes state-of-the-art surveys and reports of practical experience for all of these topics.
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