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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

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Paper Title: Prediction of software development effort estimation using neural networks
Authors Name: Kiran Kumar T.M , Yashaswini .T.K
Unique Id: IJSDR1605085
Published In: Volume 1 Issue 5, May-2016
Abstract: Abstract- Failures of software are mainly due to the flawed project management practices, which include effort estimation. Continuous changing outlines of software development technology make effort estimation more challenging. Several methods are available in order to estimate the effort among which soft computing based method plays a prominent role. Software cost estimation deals with lot of uncertainty among all soft computing methods neural network is good in handling uncertainty. This paper proposes a BPNN to utilize improves effort estimation for Cocomo data set. In this paper MRE & MMRE are used as the evaluation criteria.
Keywords: Effort estimation, Neural networks,BPNN
Cite Article: "Prediction of software development effort estimation using neural networks", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 5, page no.430 - 434, May-2016, Available :http://www.ijsdr.org/papers/IJSDR1605085.pdf
Downloads: 000337067
Publication Details: Published Paper ID: IJSDR1605085
Registration ID:160344
Published In: Volume 1 Issue 5, May-2016
DOI (Digital Object Identifier):
Page No: 430 - 434
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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