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Soft Computational Approaches for Prediction and Estimation of Software Development

Detalles Bibliográficos
Autores principales: Gao, Xiao-Zhi, Sangaiah, Arun Kumar, Ramachandran, Muthu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4775804/
https://www.ncbi.nlm.nih.gov/pubmed/26989763
http://dx.doi.org/10.1155/2016/3905931
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author Gao, Xiao-Zhi
Sangaiah, Arun Kumar
Ramachandran, Muthu
author_facet Gao, Xiao-Zhi
Sangaiah, Arun Kumar
Ramachandran, Muthu
author_sort Gao, Xiao-Zhi
collection PubMed
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spelling pubmed-47758042016-03-17 Soft Computational Approaches for Prediction and Estimation of Software Development Gao, Xiao-Zhi Sangaiah, Arun Kumar Ramachandran, Muthu ScientificWorldJournal Editorial Hindawi Publishing Corporation 2016 2016-02-18 /pmc/articles/PMC4775804/ /pubmed/26989763 http://dx.doi.org/10.1155/2016/3905931 Text en Copyright © 2016 Xiao-Zhi Gao et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Editorial
Gao, Xiao-Zhi
Sangaiah, Arun Kumar
Ramachandran, Muthu
Soft Computational Approaches for Prediction and Estimation of Software Development
title Soft Computational Approaches for Prediction and Estimation of Software Development
title_full Soft Computational Approaches for Prediction and Estimation of Software Development
title_fullStr Soft Computational Approaches for Prediction and Estimation of Software Development
title_full_unstemmed Soft Computational Approaches for Prediction and Estimation of Software Development
title_short Soft Computational Approaches for Prediction and Estimation of Software Development
title_sort soft computational approaches for prediction and estimation of software development
topic Editorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4775804/
https://www.ncbi.nlm.nih.gov/pubmed/26989763
http://dx.doi.org/10.1155/2016/3905931
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