Kairós: modelo preditivo baseado em históricos de contextos para o gerenciamento de tempo em projetos

  • Felipe Chaves Rodrigues UNISINOS
  • Alexsandro Souza Filippetto UNISINOS
  • Jorge Luis Victória Barbosa UNISINOS

Resumo


This paper presents a computational model entitled Kairós for prediction and recommendation in project schedules. The model uses context prediction mechanisms based on task data and projects stored during its execution. The recommendations are made to the manager in a proactive manner, considering best practices in project management and learning with the approval or rejection of each recommendation. A prototype was implemented based on the proposed model, and through it, an evaluation was carried out using simulated use cases with real data from a large company. The results showed that the model was able to predict with precision of 93% if a task would be completed with delay, with 87% accuracy.
Palavras-chave: Project management, Time management, Project schedules, Prediction, Recommendation, Context histories, Ubiquitous computing
Publicado
20/05/2019
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RODRIGUES, Felipe Chaves; FILIPPETTO, Alexsandro Souza; BARBOSA, Jorge Luis Victória. Kairós: modelo preditivo baseado em históricos de contextos para o gerenciamento de tempo em projetos. In: SIMPÓSIO BRASILEIRO DE SISTEMAS DE INFORMAÇÃO (SBSI), 15. , 2019, Aracajú. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2019 . p. 1-8.