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Do programmers work at night or during the weekend?

Claes, Maëlick; Mäntylä, Mika V.; Kuutila, Miikka; Adams, Bram (2018-05-27)

 
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https://doi.org/10.1145/3180155.3180193

Claes, Maëlick
Mäntylä, Mika V.
Kuutila, Miikka
Adams, Bram
Association for Computing Machinery
27.05.2018

Maëlick Claes, Mika V. Mäntylä, Miikka Kuutila, and Bram Adams. 2018. Do programmers work at night or during the weekend?. In Proceedings of the 40th International Conference on Software Engineering (ICSE '18). ACM, New York, NY, USA, 705-715. DOI: https://doi.org/10.1145/3180155.3180193

https://rightsstatements.org/vocab/InC/1.0/
© 2018 Copyright held by the owner/author(s). Publication rights licensed to Association for Computing Machinery. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 40th International Conference on Software Engineering (ICSE '18). DOI: https://doi.org/10.1145/3180155.3180193.
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doi:https://doi.org/10.1145/3180155.3180193
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https://urn.fi/URN:NBN:fi-fe201901041328
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Abstract

Abnormal working hours can reduce work health, general well-being, and productivity, independent from a profession. To inform future approaches for automatic stress and overload detection, this paper establishes empirically collected measures of the work patterns of software engineers. To this aim, we perform the first large-scale study of software engineers’ working hours by investigating the time stamps of commit activities of 86 large open source software projects, both containing hired and volunteer developers. We find that two thirds of software engineers mainly follow typical office hours, empirically established to be from 10h to 18h, and do not usually work during nights and weekends. Large variations between projects and individuals exist. Surprisingly, we found no support that project maturation would decrease abnormal working hours. In the Firefox case study, we found that hired developers work more during office hours while seniority, either in terms of number of commits or job status, did not impact working hours. We conclude that the use of working hours or timestamps of work products for stress detection requires establishing baselines at the level of individuals.

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