Object
Title: ReSySTER: A hybrid recommender system for Scrum team roles based on fuzzy and rough sets
Creator:
Colomo-Palacios, Ricardo ; González-Carrasco, Israel ; López-Cuadrado, José Luis ; García-Crespo, Ángel
Date:
Resource Type:
Contributor:
Cordón, Oskar - ed. ; Kazienko, Przemysław - ed.
Subtitle:
Hybrid and Ensemble Methods in Machine Learning
Group publication title:
Abstract:
Agile development is a crucial issue within software engineering because one of the goals of any project leader is to increase the speed and flexibility in the development of new commercial products. ; In this sense, project managers must find the best resource configuration for each of the work packages necessary for the management of software development processes in order to keep the team motivated and committed to the project and to improve productivity and quality. ; This paper presents ReSySTER, a hybrid recommender system based on fuzzy logic, rough set theory and semantic technologies, aimed at helping project leaders to manage software development projects. ; The proposed system provides a powerful tool for project managers supporting the development process in Scrum environments and helping to form the most suitable team for different work packages. The system has been evaluated in a real scenario of development with the Scrum framework obtaining promising results.
Publisher:
Zielona Góra: Uniwersytet Zielonogórski
Resource Identifier:
DOI:
Pages:
Source:
AMCS, Volume 22, Number 4 (2012) ; click here to follow the link
Language:
Rights:
Biblioteka Uniwersytetu Zielonogórskiego
Object collections:
- Digital Library of Zielona Góra > Repository > Faculties > Faculty of Computer, Electrical and Control Engineering
- Digital Library of Zielona Góra > Repository > Types of work > Articles
- Digital Library of Zielona Góra > Repository > Scientific journals and UZ publishing series > International Journal of Applied Mathematics and Computer Science (AMCS) > International Journal of Applied Mathematics and Computer Science (AMCS) (2012)
Last modified:
Oct 14, 2021
In our library since:
Sep 15, 2021
Number of object content hits:
176
All available object's versions:
https://www.zbc.uz.zgora.pl/publication/65809
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International Journal of Applied Mathematics and Computer Science (AMCS)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 22, number 4 (2012)
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| Edition name | Date |
|---|---|
| ReSySTER: A hybrid recommender system for Scrum team roles based on fuzzy and rough sets | Oct 14, 2021 |
