Effort Estimation of Business Process Modeling through Clustering Techniques

Auteurs

  • Fernanda Baiao UNIRIO
  • Kate Revoredo UNIRIO
  • Brunno Silveira
  • Felipe Klussmann

Résumé

A critical activity in project planning, especially in business process modeling (BPM) projects, is effort estimation. It involves several dimensions such as business domain complexity, team and technology characteristics, turning estimation into a difficult and inaccurate task. In order to reduce this difficulty, background knowledge about past projects is typically applied; however, it is too costly to be carried out manually. On the other hand, Data Mining enables the automatic extraction of new nontrivial and useful knowledge from existing data. This paper presents a new approach for BPM project effort estimation using data mining through clustering technique. This approach was successfully applied to real data

Téléchargements

Les données relatives au téléchargement ne sont pas encore disponibles.

Téléchargements

Publiée

2014-10-22

Comment citer

Baiao, F., Revoredo, K., Silveira, B., & Klussmann, F. (2014). Effort Estimation of Business Process Modeling through Clustering Techniques. ISys - Brazilian Journal of Information Systems, 7(1), 34–47. Consulté à l’adresse https://seer.unirio.br/isys/article/view/2242

Numéro

Rubrique

ARTIGOS REGULARES