Distributed Scrum: A Case Meta-analysis
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Published:2023-11-10
Issue:4
Volume:56
Page:1-37
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ISSN:0360-0300
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Container-title:ACM Computing Surveys
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language:en
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Short-container-title:ACM Comput. Surv.
Author:
Santos Ronnie De Souza1ORCID,
Ralph Paul2ORCID,
Arshad Arham2ORCID,
Stol Klaas-Jan3ORCID
Affiliation:
1. University of Calgary, Canada
2. Dalhousie University, Canada
3. University College Cork and Lero, Ireland, and SINTEF, Norway
Abstract
Distributed Scrum adapts the Scrum project management framework for geographically distributed software teams. Experimentally evaluating the effectiveness of Distributed Scrum is impractical, but many case studies and experience reports describe teams and projects that used Distributed Scrum. This article synthesizes the results of these cases using case meta-analysis, a technique for quantitatively analyzing qualitative case reports. On balance, the evidence suggests that Distributed Scrum has no impact, positive or negative, on overall project success. Consequently, claims by agile consultants who present Distributed Scrum as a recipe for project success should be treated with great caution, while researchers should investigate more varied perspectives to identify the real drivers of success in distributed and global software development.
Funder
Science Foundation Ireland
European Regional Development Fund through the Southern & Eastern Regional Operational Programme to Lero—the Irish Software Research Centre
Natural Sciences and Engineering Research Council of Canada
NSERC USRA program
Research Council of Norway through the 10xTeams project
Publisher
Association for Computing Machinery (ACM)
Subject
General Computer Science,Theoretical Computer Science
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