Spotify tailoring for B2B product development

Salameh, A ORCID: https://orcid.org/0000-0002-3012-9353 and Bass, J ORCID: https://orcid.org/0000-0002-0570-7086 2019, Spotify tailoring for B2B product development , in: Euromicro Conference on Software Engineering and Advanced Applications.

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Abstract

Agile software development has become increasinglycommon in the context of large-scale organisations. Typically,software organisations tailor agile methods to fit their needsand ultimately maximise success. The size of the organisation,business goals, and operative models are some examples of factorsfor which agile methods are tailored.Spotify model is introduced to facilitate the development ofa very large-scale project with a Business-to-Consumer (B2C)model, but mission-critical large-scale projects with Business-to-Business (B2B) model are not addressed by the model. Hence, aquestion that imposes itself is:What are practitioner perceptionsof agile tailoring when using the Spotify model?In this paper, we conduct a longitudinal embedded case studyto investigate practitioner perceptions of agile method tailoringon a large-scale mission-critical project in B2B environment. Thecase study lasted over 21 months during which 14 semi-structuredinterviews were conducted. To analyse the collected data, theGrounded Theory (GT) is adopted.As a result, we identify44tailored practices and attributesfor B2B product development. Based on this tailoring,4influ-ential factors on“Spotify Tailoring”have been derived. Thesederived factors are worth considering for other organisationsconcerned with agile method tailoring for large-scale mission-critical projects in B2B context.

Item Type:	Conference or Workshop Item (Paper)
Schools:	Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre
Journal or Publication Title:	EUROMICRO 45th Conference on Software Engineering and Advanced Applications (SEAA)
Related URLs:	Organisation
Depositing User:	Dr Julian M. Bass
Date Deposited:	03 Jul 2019 08:18
Last Modified:	16 Feb 2022 02:18
URI:	https://usir.salford.ac.uk/id/eprint/51715

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