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Big Five Patterns for Software Engineering Roles Using an ANFIS Learning Approach with RAMSET

  • Luis G. Martínez
  • Antonio Rodríguez-Díaz
  • Guillermo Licea
  • Juan R. Castro
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6438)

Abstract

This paper proposes an ANFIS (Adaptive Network Based Fuzzy Inference System) Learning Approach where we have found patterns of personality types using Big Five Personality Tests for Software Engineering Roles in Software Development Project Teams as part of RAMSET (Role Assignment Methodology for Software Engineering Teams) methodology. An ANFIS model is applied to a set of role traits resulting from Big Five personality tests in our case studies obtaining a Takagi-Sugeno-Kang (TSK) Fuzzy Inference System (FIS) type model with rules that helps us recommend best suited roles for performing in software engineering teams.

Keywords

Fuzzy Logic Uncertainty Software Engineering Psychometrics 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Luis G. Martínez
    • 1
  • Antonio Rodríguez-Díaz
    • 1
  • Guillermo Licea
    • 1
  • Juan R. Castro
    • 1
  1. 1.Universidad Autónoma de Baja CaliforniaTijuanaMéxico

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