The first one generates one-shot BBNs, while the second one generates BBNs that take into account the temporal aspect of project development. We performed ...

Sep 1, 2013 · In this paper, we present an approach for semi-automatically building BBNs by using machine learning techniques. We describe two algorithms to ...

PDF | Software projects estimations are a crucial component of successful software development. There have been many approaches that deal with this.

In this paper, we present an approach for semi-automatically building BBNs by using machine learning techniques. We describe two algorithms to generate such ...

This paper presents an approach for semi-automatically building Bayesian Belief Networks by using machine learning techniques, and describes two algorithms ...

Multi-step Generation of Bayesian Networks Models for Software Projects Estimations. Fuentetaja, R., Borrajo, D., Linares-López, C., & Ocón, ...

Bibliographic details on Multi-step Generation of Bayesian Networks Models for Software Projects Estimations.

Multi-step Generation of Bayesian Networks Models for Software Projects Estimations ; Taylor & Francis, Amsterdam. Publication country: Netherlands ; Article.

This paper proposes and experimentally validates a Bayesian network model of a range finder adapted to dynamic environments. All modeling assumptions are ...

Multi-step Generation of Bayesian Networks Models for Software Projects Estimations · Fuentetaja, R. · Borrajo, Daniel · Ocón, J. · López, C. L. ...