Comparisons on Scrum Team Strategies: A multi-agent Simulation
Author: 
Zhe WangAuthors Info & Claims
Pages 120 - 124
Abstract
Scrum is a type of agile process that incrementally, iteratively and continuously deliver software based on sprint time box. It is composed by User Stories, product backlog, sprint backlog, scrum team and sprints. Scrum team take user stories from product backlog into sprint backlog to start each sprint and deliver products at the end of each sprint. Sprint retrospective and review occurs at the end of each sprint to evaluate the delivered products and team performance. Based on the Scrum guide, scrum is easy to be understood but hard to be measured. Especially, it is depended largely on the performance of team dynamics referring to team compositions and task allocations, as its optimization make big impact on each sprint result. A new type of strategy called Intelligent pair strategies are tested in this paper to compare their performance under various task set and scrum team context.
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Index Terms
- Comparisons on Scrum Team Strategies: A multi-agent Simulation
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Published In
June 2020
219 pages
ISBN:9781450377034
DOI:10.1145/3408066
Copyright © 2020 ACM.
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In-Cooperation
- Central Queensland University
- DUT: Dalian University of Technology
- University of Wollongong, Australia
- Swinburne University of Technology
- University of Technology Sydney
- National Tsing Hua University: National Tsing Hua University
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Association for Computing Machinery
New York, NY, United States
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Published: 11 August 2020
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ICCMS '20
ICCMS '20: The 12th International Conference on Computer Modeling and Simulation
June 22 - 24, 2020
QLD, Brisbane, Australia
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