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2018 | OriginalPaper | Buchkapitel

Scrum Task Allocation Based on Particle Swarm Optimization

verfasst von : Lucija Brezočnik, Iztok Fister Jr., Vili Podgorelec

Erschienen in: Bioinspired Optimization Methods and Their Applications

Verlag: 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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Vorheriges Kapitel An Adaptive Metaheuristic for Unconstrained Multimodal Numerical Optimization

Nächstes Kapitel Cooperative Model for Nature-Inspired Algorithms in Solving Real-World Optimization Problems

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Titel: Scrum Task Allocation Based on Particle Swarm Optimization
verfasst von: Lucija Brezočnik
Iztok Fister Jr.
Vili Podgorelec
Verlag: Springer International Publishing
Buch: Bioinspired Optimization Methods and Their Applications
Print ISBN: 978-3-319-91640-8

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

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-91641-5_4

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