Spotify tailoring for B2B product development

Salameh, A; Bass, J

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.

Citation

Salameh, A., & Bass, J. (2019). Spotify tailoring for B2B product development. . https://doi.org/10.1109/SEAA.2019.00018

• Conference Name: Euromicro Conference on Software Engineering and Advanced Applications
• Conference Location: Kallithea, Greece
• Start Date: Aug 28, 2019
• End Date: Aug 30, 2019
• Acceptance Date: May 7, 2019
• Online Publication Date: Nov 21, 2019
• Publication Date: Nov 21, 2019
• Deposit Date: Jul 3, 2019
• Publicly Available Date: Jul 3, 2019
• Publisher: Institute of Electrical and Electronics Engineers
• DOI: https://doi.org/10.1109/SEAA.2019.00018