{"title":"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","authors":"Daniel Russo, Paul H. P. Hanel, Niels van Berkel","doi":"10.1145/3640338","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":50933,"journal":{"name":"ACM Transactions on Software Engineering and Methodology","volume":"82 1","pages":""},"PeriodicalIF":6.6000,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Understanding Developers Well-Being and Productivity: a 2-year Longitudinal Analysis during the COVID-19 Pandemic - RCR Report\",\"authors\":\"Daniel Russo, Paul H. P. Hanel, Niels van Berkel\",\"doi\":\"10.1145/3640338\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>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.</p>\",\"PeriodicalId\":50933,\"journal\":{\"name\":\"ACM Transactions on Software Engineering and Methodology\",\"volume\":\"82 1\",\"pages\":\"\"},\"PeriodicalIF\":6.6000,\"publicationDate\":\"2024-01-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM Transactions on Software Engineering and Methodology\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1145/3640338\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, SOFTWARE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Transactions on Software Engineering and Methodology","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1145/3640338","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
Understanding Developers Well-Being and Productivity: a 2-year Longitudinal Analysis during the COVID-19 Pandemic - RCR Report
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.
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.