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The Impact of Forced Working-From-Home on Code Technical Debt: An Industrial Case Study
Blekinge Institute of Technology, Sweden.
Blekinge Institute of Technology, Sweden.
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).ORCID iD: 0000-0001-7092-2244
2022 (English)In: Proceedings - 48th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2022 / [ed] Callico G.M., Hebig R., Wortmann A., IEEE, 2022, p. 298-305Conference paper, Published paper (Refereed)
Abstract [en]

Background: The COVID-19 outbreak interrupted regular activities for over a year in many countries and resulted in a radical change in ways of working for software development companies, i.e., most software development companies switched to a forced Working-From-Home (WFH) mode.

Aim: Although several studies have analysed different aspects of forced WFH mode, it is unknown whether and to what extent WFH impacted the accumulation of technical debt (TD) when developers have different ways to coordinate and communicate with peers.

Method: Using the year 2019 as a baseline, we carried out an industrial case study to analyse the evolution of TD in five components that are part of a large project while WFH. As part of the data collection, we carried out a focus group with developers to explain the different patterns observed from the quantitative data analysis.

Results: TD accumulated at a slower pace during WFH as compared with the working-from-office period in four components out of five. These differences were found to be statistically significant. Through a focus group, we have identified different factors that might explain the changes in TD accumulation. One of these factors is responsibility diffusion which seems to explain why TD grows faster during the WFH period in one of the components. Conclusion: The results suggest that when the ways of working change, the change between working from office and working from home does not result in an increased accumulation of TD.

Place, publisher, year, edition, pages
IEEE, 2022. p. 298-305
Keywords [en]
Software design, Case-studies; Data collection; Empirical studies; Focus groups; Industrial case study; Industrial study; Large programs; Technical debts; Telework; Work from home, COVID-19
National Category
Software Engineering
Research subject
Computer Science, Software Technology
Identifiers
URN: urn:nbn:se:lnu:diva-122829DOI: 10.1109/SEAA56994.2022.00054Scopus ID: 2-s2.0-85142493452ISBN: 9781665461528 (electronic)OAI: oai:DiVA.org:lnu-122829DiVA, id: diva2:1776438
Conference
Conference of 48th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2022, 31 August-2 September 2022
Available from: 2023-06-28 Created: 2023-06-28 Last updated: 2023-08-18Bibliographically approved

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Palma, Francis

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Citation style
  • apa
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