open access publication

Editorial Material, 2024

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

ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY, ISSN 1049-331X, 1049-331X, Volume 33, 3, 10.1145/3640338

Contributors

Russo, Daniel 0000-0002-7430-8724 (Corresponding author) [1] Hanel, Paul H. P. [2] van Berkel, Niels [1]

Affiliations

  1. [1] Aalborg Univ, Dept Comp Sci, AC Meyers Vaenge 15, DK-2450 Aalborg, Denmark
  2. [NORA names: AAU Aalborg University; University; Denmark; Europe, EU; Nordic; OECD];
  3. [2] Univ Essex, Dept Psychol, Wivenhoe Pk, Colchester CO4 3SQ, Essex, England
  4. [NORA names: United Kingdom; Europe, Non-EU; OECD]

Abstract

The artifact accompanying the paper "Understanding DevelopersWell-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 inwell-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 and reproducibility and allows 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.

Keywords

COVID-19, IJARS Model, future of work, longitudinal study, well-being

Data Provider: Clarivate