Human Resource Assessment in Software Development Projects Using Fuzzy Linguistic 2-Tuples

Vassilis C. Gerogiannis, Elli Rapti, Anthony Karageorgos, Panos Fitsilis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Proper selection and allocation of human resources to software development tasks is one of the key challenges in software development projects. In this paper we present a fuzzy linguistic approach that supports the selection of suitable human resources based on their skills and the required skills for each project task. The proposed approach uses 2-tuple fuzzy linguistic terms and results in an objective aggregation of the ratings of required task related skills and provided skills from candidate human resources. The approach applies a group-based, multi-criteria, similarity degree-based aggregation algorithm. To reflect the contribution of one skill to the learning of other skills, the approach also considers possible relationships between skills. A numerical example is presented as a proof of concept to demonstrate the applicability of the approach.

Original languageEnglish
Title of host publicationProceedings - 2nd International Conference on Artificial Intelligence, Modelling, and Simulation, AIMS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages217-222
Number of pages6
ISBN (Electronic)9781479975990
DOIs
Publication statusPublished - 5 May 2014
Event2nd IEEE International Conference on Artificial Intelligence, Modelling, and Simulation, AIMS 2014 - Madrid, Spain
Duration: 18 Nov 201420 Nov 2014

Other

Other2nd IEEE International Conference on Artificial Intelligence, Modelling, and Simulation, AIMS 2014
CountrySpain
CityMadrid
Period18/11/1420/11/14

Keywords

  • 2-tuple fuzzy linguistic representation/computation model
  • human resource evaluation
  • software project management

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    Gerogiannis, V. C., Rapti, E., Karageorgos, A., & Fitsilis, P. (2014). Human Resource Assessment in Software Development Projects Using Fuzzy Linguistic 2-Tuples. In Proceedings - 2nd International Conference on Artificial Intelligence, Modelling, and Simulation, AIMS 2014 (pp. 217-222). [7102463] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AIMS.2014.15