Agile at scale : a summary of the 8th International Workshop on Large-Scale Agile Development

Bass, JM ORCID: https://orcid.org/0000-0002-0570-7086 and Salameh, A ORCID: https://orcid.org/0000-0002-3012-9353 2020, 'Agile at scale : a summary of the 8th International Workshop on Large-Scale Agile Development' , in: Agile Processes in Software Engineering and Extreme Programming – Workshops XP 2020 Workshops, Copenhagen, Denmark, June 8–12, 2020, Revised Selected Papers , Lecture Notes in Business Information Processing (396) , Springer, pp. 67-73.

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Abstract

The Large-Scale Agile Development workshop explored the main research challenges in large-scale software development. We considered multi-site organisations with large-scale projects that include a large number of teams adopting agile methods. Such topics include inter-team coordination, knowledge sharing, large project organisation, agile transformation, agile teamwork quality, project models that facilitate several self-organising teams, and practices for scaling agile methods. We accepted five full research papers, which are included in this volume. The accepted papers report empirical research studies using surveys, observations and case studies. Also, an interactive online discussion session was conducted to compare the two approaches, SAFe and Spotify. The workshop participants, which were around a hundred people, joined this discussion to compare the two approaches and suggest some future research questions about the hybridisation of SAFe and Spotify. This workshop summary contributes as a current snapshot of research along with some results from an interactive discussion about SAFe and Spotify.

Item Type: Book Section
Editors: Paasivaara, M and Kruchten, P
Schools: Schools > School of Computing, Science and Engineering
Journal or Publication Title: Agile Processes in Software Engineering and Extreme Programming – Workshops XP 2020 Workshops, Copenhagen, Denmark, June 8–12, 2020, Revised Selected Papers
Publisher: Springer
Series Name: Lecture Notes in Business Information Processing
ISBN: 9783030588571 (print); 9783030588588 (online)
ISSN: 1865-1348
Related URLs:
Depositing User: Dr Abdallah Salameh
Date Deposited: 26 Nov 2020 10:23
Last Modified: 28 Aug 2021 11:24
URI: http://usir.salford.ac.uk/id/eprint/58926

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