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dc.date.accessioned2024-01-31T17:30:25Z
dc.date.available2024-01-31T17:30:25Z
dc.date.created2024-01-16T16:41:55Z
dc.date.issued2023
dc.identifier.citationTkalich, Anastasiia Moe, Nils Brede Andersen, Nina Haugland Stray, Viktoria Barbala, Astri Moksnes . Pair Programming Practiced in Hybrid Work. International Symposium on Empirical Software Engineering and Measurement. 2023
dc.identifier.urihttp://hdl.handle.net/10852/107306
dc.description.abstractPair programming (PP) has been a widespread practice for decades and is known for facilitating knowledge exchange and improving the quality of software. Many agilists advocated the importance of collocation, face-to-face interaction, and physical artifacts incorporated in the shared workspace when pairing. After a long period of forced work-from-home, many knowledge workers prefer to work remotely two or three days per week, which is affecting practices such as PP. In this revelatory single-case study, we aimed to understand how PP is practiced during hybrid work when team members alternate between on-site days and working from home. We collected qualitative and quantitative data through 11 semi-structured interviews, observations, feedback sessions, and self-reported surveys. The interviewees were members of an agile software development team in a Norwegian fintech company. The results presented in this paper indicate that PP can be practiced through on-site, remote, and mixed sessions, where the mixed mode seems to be the least advantageous. The findings highlight the importance of adapting the work environment to suit individual work mode preferences when it comes to PP. In the future, we will build on these findings to explore PP in other teams and organizations practicing hybrid work.
dc.languageEN
dc.publisherIEEE Geoscience and Remote Sensing Society
dc.titlePair Programming Practiced in Hybrid Work
dc.title.alternativeENEngelskEnglishPair Programming Practiced in Hybrid Work
dc.typeJournal article
dc.creator.authorTkalich, Anastasiia
dc.creator.authorMoe, Nils Brede
dc.creator.authorAndersen, Nina Haugland
dc.creator.authorStray, Viktoria
dc.creator.authorBarbala, Astri Moksnes
cristin.unitcode185,15,5,29
cristin.unitnameSoftware engineering
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1
dc.identifier.cristin2228810
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=International Symposium on Empirical Software Engineering and Measurement&rft.volume=&rft.spage=&rft.date=2023
dc.identifier.jtitleInternational Symposium on Empirical Software Engineering and Measurement
dc.identifier.doihttps://doi.org/10.1109/ESEM56168.2023.10304797
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn1949-3770
dc.type.versionAcceptedVersion


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