Russo, Daniel and Hanel, Paul HP and van Berkel, Niels (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, 33 (3). pp. 1-4. DOI https://doi.org/10.1145/3640338
Russo, Daniel and Hanel, Paul HP and van Berkel, Niels (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, 33 (3). pp. 1-4. DOI https://doi.org/10.1145/3640338
Russo, Daniel and Hanel, Paul HP and van Berkel, Niels (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, 33 (3). pp. 1-4. DOI https://doi.org/10.1145/3640338
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 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.
Item Type: | Article |
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Uncontrolled Keywords: | COVID-19; longitudinal study; well-being; future of work; IJARS Model |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Psychology, Department of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 12 Sep 2024 16:52 |
Last Modified: | 12 Sep 2024 16:52 |
URI: | http://repository.essex.ac.uk/id/eprint/39171 |
Available files
Filename: 3640338.pdf