A hybrid approach to solve the agile team allocation problem

Author

Britto, Ricardo ; Neto, Pedro Santos ; Rabelo, Ricardo ; Ayala, Werney ; Soares, Thiago

Author_Institution

DIE, UFPI, Brazil

fYear

2012

fDate

10-15 June 2012

Firstpage

1

Lastpage

8

Abstract

The success of the team allocation in a agile software development project is essential. The agile team allocation is a NP-hard problem, since it comprises the allocation of self-organizing and cross-functional teams. Many researchers have driven efforts to apply Computational Intelligence techniques to solve this problem. This work presents a hybrid approach based on NSGA-II multi-objective metaheuristic and Mamdani Fuzzy Inference Systems to solve the agile team allocation problem, together with an initial evaluation of its use in a real environment.

Keywords

computational complexity; fuzzy reasoning; software prototyping; Mamdani fuzzy inference systems; NP-hard problem; NSGA-II multiobjective metaheuristic; agile software development project; agile team allocation problem solving; computational intelligence techniques; cross-functional teams; hybrid approach; self-organizing teams; Fuzzy sets; Humans; Input variables; Optimization; Productivity; Resource management; Software;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation (CEC), 2012 IEEE Congress on

Conference_Location

Brisbane, QLD

Print_ISBN

978-1-4673-1510-4

Electronic_ISBN

978-1-4673-1508-1

Type

conf

DOI

10.1109/CEC.2012.6252999

Filename

6252999