Prediction of software development effort estimation using neural networks

Kiran Kumar T.M , Yashaswini .T.K

Effort estimation, Neural networks,BPNN

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.

Published Paper   E-Certificate

"Prediction of software development effort estimation using neural networks", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 5, page no.430 - 434, May-2016, Available :https://ijsdr.org/papers/IJSDR1605085.pdf

Volume 1 Issue 5, May-2016

Pages : 430 - 434

Paper Reg. ID: IJSDR_160344

Published Paper Id: IJSDR1605085

Downloads: 000347057

Research Area: Engineering

Country: TUMKUR, KARNATAKA, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1605085

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1605085

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition