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Optimization of Home Care Visits Schedule by Genetic Algorithm Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Scrum Task Allocation Based on Particle Swarm Optimization

Authors : Lucija Brezočnik, Iztok Fister Jr., Vili Podgorelec

Published in: Bioinspired Optimization Methods and Their Applications

Publisher: Springer International Publishing

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Abstract

In this paper, we present a novel algorithm called STAPSO, which comprises Scrum task allocation and the Particle Swarm Optimization algorithm. The proposed algorithm aims to address one of the most significant problems in the agile software development, i.e., iteration planning. The actuality of the topic is not questionable, since nowadays, agile software development plays a vital role in most of the organizations around the world. Despite many agile software development methodologies, we include the proposed algorithm in Scrum Sprint planning, as it is the most widely used methodology. The proposed algorithm was also tested on a real-world dataset, and the experiment shows promising results.

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previous chapter An Adaptive Metaheuristic for Unconstrained Multimodal Numerical Optimization
next chapter Cooperative Model for Nature-Inspired Algorithms in Solving Real-World Optimization Problems
Appendix
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Metadata
Title
Scrum Task Allocation Based on Particle Swarm Optimization
Authors
Lucija Brezočnik
Iztok Fister Jr.
Vili Podgorelec
Copyright Year
2018
Book
Bioinspired Optimization Methods and Their Applications

Print ISBN: 978-3-319-91640-8

Electronic ISBN: 978-3-319-91641-5

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-91641-5_4

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