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 language | English |
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Title of host publication | Proceedings - 2nd International Conference on Artificial Intelligence, Modelling, and Simulation, AIMS 2014 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 217-222 |
Number of pages | 6 |
ISBN (Electronic) | 9781479975990 |
DOIs | |
Publication status | Published - 5 May 2014 |
Event | 2nd IEEE International Conference on Artificial Intelligence, Modelling, and Simulation, AIMS 2014 - Madrid, Spain Duration: 18 Nov 2014 → 20 Nov 2014 |
Other
Other | 2nd IEEE International Conference on Artificial Intelligence, Modelling, and Simulation, AIMS 2014 |
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Country/Territory | Spain |
City | Madrid |
Period | 18/11/14 → 20/11/14 |
Keywords
- 2-tuple fuzzy linguistic representation/computation model
- human resource evaluation
- software project management