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

• Published in: Information systems frontiers 2014-09, Vol.16 (4), p.607-625
• Main Authors: Colomo-Palacios, Ricardo, González-Carrasco, Israel, López-Cuadrado, Jose Luis, Trigo, Antonio, Varajao, Joao Eduardo
• Format: Article
• Language: English
• Subjects: Accuracy; Analysis; Artificial intelligence; Business and Management; Computer programs; Control; Employee development; Encounters; Genetic algorithms; Information systems; Intelligence; IT in Business; Management of Computing and Information Systems; Markets; Nervous system; Neural networks; Neurons; Operations Research/Decision Theory; Process controls; Project management; Scheduling; Searching; Software; Software development; Software engineering; Software industry; Studies; Success; Systems Theory
• ISSN: 1387-3326; 1572-9419
• DOI: 10.1007/s10796-012-9369-6

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.