UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 7
July-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1807039


Registration ID:
184303

Page Number

226-229

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Title

Artificial Intelligence based smart Effort Estimation and Model Development

Abstract

In the present work artificial intelligence techniques like Artificial Neural Network (ANN), Adaptive Neuro Fuzzy Inference System (ANFIS), along with optimization technique like Simulated Annealing has been used for optimum model development for prediction of Development Effort Estimation using NASA project dataset, consisting of 63 software projects and further model assessment using Object Oriented software development approach. Next, a comparison of results based on SA approach with ANN, ANFIS and COCOMO models has been presented proving the estimation utility

Key Words

Artificial Intelligence based smart Effort Estimation and Model Development

Cite This Article

"Artificial Intelligence based smart Effort Estimation and Model Development", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.226-229, July-2018, Available :http://www.jetir.org/papers/JETIR1807039.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Artificial Intelligence based smart Effort Estimation and Model Development", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp226-229, July-2018, Available at : http://www.jetir.org/papers/JETIR1807039.pdf

Publication Details

Published Paper ID: JETIR1807039
Registration ID: 184303
Published In: Volume 5 | Issue 7 | Year July-2018
DOI (Digital Object Identifier):
Page No: 226-229
Country: -, -, -- .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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