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

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

doi:10.1109/AIMS.2014.15

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 proceeding › Conference contribution › peer-review

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
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	https://doi.org/10.1109/AIMS.2014.15
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
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

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10.1109/AIMS.2014.15

Cite this

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). Article 7102463 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AIMS.2014.15

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title = "Human Resource Assessment in Software Development Projects Using Fuzzy Linguistic 2-Tuples",

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.",

keywords = "2-tuple fuzzy linguistic representation/computation model, human resource evaluation, software project management",

author = "Gerogiannis, \{Vassilis C.\} and Elli Rapti and Anthony Karageorgos and Panos Fitsilis",

year = "2014",

month = may,

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doi = "10.1109/AIMS.2014.15",

language = "English",

pages = "217--222",

booktitle = "Proceedings - 2nd International Conference on Artificial Intelligence, Modelling, and Simulation, AIMS 2014",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "2nd IEEE International Conference on Artificial Intelligence, Modelling, and Simulation, AIMS 2014 ; Conference date: 18-11-2014 Through 20-11-2014",

}

Gerogiannis, VC, 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., 7102463, Institute of Electrical and Electronics Engineers Inc., pp. 217-222, 2nd IEEE International Conference on Artificial Intelligence, Modelling, and Simulation, AIMS 2014, Madrid, Spain, 18/11/14. https://doi.org/10.1109/AIMS.2014.15

Human Resource Assessment in Software Development Projects Using Fuzzy Linguistic 2-Tuples. / Gerogiannis, Vassilis C.; Rapti, Elli; Karageorgos, Anthony et al.
Proceedings - 2nd International Conference on Artificial Intelligence, Modelling, and Simulation, AIMS 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 217-222 7102463.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Human Resource Assessment in Software Development Projects Using Fuzzy Linguistic 2-Tuples

AU - Gerogiannis, Vassilis C.

AU - Rapti, Elli

AU - Karageorgos, Anthony

AU - Fitsilis, Panos

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Y1 - 2014/5/5

N2 - 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.

AB - 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.

KW - 2-tuple fuzzy linguistic representation/computation model

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KW - software project management

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Y2 - 18 November 2014 through 20 November 2014

ER -

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

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