I-Competere: Using applied intelligence in search of competency gaps in software project managers
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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. © 2012 Springer Science+Business Media, LLC.
competency gaps; genetic algorithm; machine learning; neural networks; project manager; software engineering; complex networks; forecasting; genetic algorithms; learning systems; managers; neural networks; software engineering; competency gaps; competitive markets; personnel development; planning and scheduling; prediction accuracy; project managers; software development teams; strategic advantages; human resource management