Understanding Developers Well-Being and Productivity: a 2-year Longitudinal Analysis during the COVID-19 Pandemic - RCR Report

IF 6.6 2区 计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Daniel Russo, Paul H. P. Hanel, Niels van Berkel
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引用次数: 0

Abstract

The artifact accompanying the paper “Understanding Developers Well-Being and Productivity: a 2-year Longitudinal Analysis during the COVID-19 Pandemic” provides a comprehensive set of tools, data, and scripts that were utilized in the longitudinal study. Spanning 24 months, from April 2020 to April 2022, the study delves into the shifts in well-being, productivity, social contacts, needs, and several other variables of software engineers during the COVID-19 pandemic. The artifact facilitates the reproduction of the study’s findings, offering a deeper insight into the systematic changes observed in various variables, such as well-being, quality of social contacts, and emotional loneliness. By providing access to the evidence-generating mechanisms and the generated data, the artifact ensures transparency, reproducibility, and allow researchers to use our rich dataset to test their own research question. This Replicated Computational Results report aims to detail the contents of the artifact, its relevance to the main paper, and guidelines for its effective utilization.

了解开发人员的福祉和生产力:COVID-19 大流行期间的两年纵向分析 - RCR 报告
了解开发人员的幸福感和生产力:COVID-19 大流行期间的 2 年纵向分析》一文的随附作品提供了纵向研究中使用的一整套工具、数据和脚本。该研究从 2020 年 4 月到 2022 年 4 月,历时 24 个月,深入探讨了 COVID-19 大流行期间软件工程师在幸福感、工作效率、社会交往、需求和其他一些变量方面的变化。该工具有助于再现研究结果,让人们更深入地了解在幸福感、社会交往质量和情感孤独感等各种变量中观察到的系统性变化。通过提供对证据生成机制和生成数据的访问,该工具确保了透明度和可重复性,并允许研究人员使用我们丰富的数据集来测试他们自己的研究问题。本复制计算结果报告旨在详细介绍该工具的内容、其与主要论文的相关性以及有效利用该工具的指南。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACM Transactions on Software Engineering and Methodology
ACM Transactions on Software Engineering and Methodology 工程技术-计算机:软件工程
CiteScore
6.30
自引率
4.50%
发文量
164
审稿时长
>12 weeks
期刊介绍: Designing and building a large, complex software system is a tremendous challenge. ACM Transactions on Software Engineering and Methodology (TOSEM) publishes papers on all aspects of that challenge: specification, design, development and maintenance. It covers tools and methodologies, languages, data structures, and algorithms. TOSEM also reports on successful efforts, noting practical lessons that can be scaled and transferred to other projects, and often looks at applications of innovative technologies. The tone is scholarly but readable; the content is worthy of study; the presentation is effective.
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