Journal
INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE
Volume 22, Issue 4, Pages 801-816Publisher
UNIV ZIELONA GORA PRESS
DOI: 10.2478/v10006-012-0059-9
Keywords
fuzzy set; rough set; Scrum; work package; recommender system
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Funding
- Spanish Ministry of Science and Innovation under the project FLORA: Financial Linked Open Data-based Reasoning and Management for Web Science
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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.
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