Neural Network Based Model Refinement
Adrian Visoiu ()
Informatica Economica, 2008, vol. XII, issue 1, 11-19
Abstract:
In this paper, model bases and model generators are presented in the context of model refinement. This article proposes a neural network based model refinement technique for software metrics estimation. Neural networks are introduced as instruments of model refinement. A refinement technique is proposed for ranking and selecting input variables. A case study shows the practice of model refinement using neural networks.
Keywords: model refinement; neural network; software metrics; Model generators (search for similar items in EconPapers)
Date: 2008
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://revistaie.ase.ro/content/45/2%20-%20Adrian%20Visoiu.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:aes:infoec:v:xii:y:2008:i:1:p:11-19
Access Statistics for this article
Informatica Economica is currently edited by Ion Ivan
More articles in Informatica Economica from Academy of Economic Studies - Bucharest, Romania Contact information at EDIRC.
Bibliographic data for series maintained by Paul Pocatilu ().