Information Systems Frontiers

, Volume 16, Issue 4, pp 607–625 | Cite as

I-Competere: Using applied intelligence in search of competency gaps in software project managers

  • Ricardo Colomo-Palacios
  • Israel González-Carrasco
  • Jose Luis López-Cuadrado
  • Antonio Trigo
  • Joao Eduardo Varajao
Article

Abstract

People in software development teams are crucial in order to gain and retain strategic advantage inside a highly competitive market. As a result, human factors have gained attention in the software industry. Software Project Managers are decisive to achieve project success. A competent project manager is capable of solving any problem that an organization may encounter, regardless of its complexity. This paper presents I-Competere which is a tool developed to forecast competence gaps in key management personnel by predicting planning and scheduling competence levels. Based on applied intelligence techniques, I-Competere allows the forecast and anticipation of competence needs thus articulating personnel development tools and techniques. The results of the test, using several artificial neural networks, are more than promising and show prediction accuracy.

Keywords

Competency gaps Software engineering Project manager Neural networks Machine learning Genetic algorithm 

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Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  • Ricardo Colomo-Palacios
    • 1
  • Israel González-Carrasco
    • 1
  • Jose Luis López-Cuadrado
    • 1
  • Antonio Trigo
    • 2
  • Joao Eduardo Varajao
    • 3
  1. 1.Department of Computer ScienceUniversidad Carlos IIILeganes (Madrid)Spain
  2. 2.Institute of Accounting and Administration of CoimbraCoimbraPortugal
  3. 3.University of Tras-os-Montes e Alto DouroVila RealPortugal

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