ReSySTER: A hybrid recommender system for Scrum team roles based on fuzzy and rough sets

Ricardo Colomo-Palacios; Israel González-Carrasco; José Luis López-Cuadrado; Ángel García-Crespo

International Journal of Applied Mathematics and Computer Science (2012)

  • Volume: 22, Issue: 4, page 801-816
  • ISSN: 1641-876X

Abstract

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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.

How to cite

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Ricardo Colomo-Palacios, et al. "ReSySTER: A hybrid recommender system for Scrum team roles based on fuzzy and rough sets." International Journal of Applied Mathematics and Computer Science 22.4 (2012): 801-816. <http://eudml.org/doc/244504>.

@article{RicardoColomo2012,
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.},
author = {Ricardo Colomo-Palacios, Israel González-Carrasco, José Luis López-Cuadrado, Ángel García-Crespo},
journal = {International Journal of Applied Mathematics and Computer Science},
keywords = {fuzzy set; rough set; Scrum; work package; recommender system; scrum},
language = {eng},
number = {4},
pages = {801-816},
title = {ReSySTER: A hybrid recommender system for Scrum team roles based on fuzzy and rough sets},
url = {http://eudml.org/doc/244504},
volume = {22},
year = {2012},
}

TY - JOUR
AU - Ricardo Colomo-Palacios
AU - Israel González-Carrasco
AU - José Luis López-Cuadrado
AU - Ángel García-Crespo
TI - ReSySTER: A hybrid recommender system for Scrum team roles based on fuzzy and rough sets
JO - International Journal of Applied Mathematics and Computer Science
PY - 2012
VL - 22
IS - 4
SP - 801
EP - 816
AB - 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.
LA - eng
KW - fuzzy set; rough set; Scrum; work package; recommender system; scrum
UR - http://eudml.org/doc/244504
ER -

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