| Título: | Productivity Inference with Dynamic Bayesian Models in Software Development Projects |
| Autores: |
Naman, Abou Bakar; Department of Comptuer Science & Information Technology Sarhad University Lali, M.Ikram.; University of education Lahore, Attock campus |
| Fecha: | 2012-08-12 |
| Publicador: | International journal of computer and electronics research |
| Fuente: |
 |
| Tipo: | Peer-reviewed Article |
| Tema: |
Bayesian Networks; Software Project Management; Literature review. Computer Science |
| Descripción: | This article covers a literature review of some existing and proposed Bayesian Networks for software project management and effort estimation. Each of the reviewed models is proposed for a specific issue of software project management and involved variety of research methods for factors selection, data population and validation. The purpose of the review is first to identify the scope and utility of the models and secondly to reveal how different methods are being used for development of BBN based models. Dynamic Bayesian networks are one of the rapidly adopted techniques which we used in this research. And there exist a strong need to explore the capabilities of BN in effort estimation. This article not only provides a brief discussion on the models available, but also highlights their application in software effort estimation and also their suitability for development of bigger models. |
| Idioma: | Inglés |
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