@inproceedings{4192dbfc4dbb421aaccaa6d947d3f2b4,
title = "Neural network and statistical modeling of software development effort",
abstract = "Many modeling studies that aimed at providing an accurate relationship between the software project effort (or cost) and the involved cost drivers have been conducted for effectivemanagement of software projects. However, the derived models are only applicable for a specific project and its variables. In this chapter, we present the use of back-propagation neural network (NN) to model the software development (SD) effort of 18 SD NASA projects based on six cost drivers. The performance of the NN model was also compared with a multi-regression model and other models available in the literature.",
keywords = "Effort estimation, Neural network, Regression, Software development",
author = "Ruchi Shukla and Mukul Shukla and Tshilidzi Marwala",
note = "Publisher Copyright: {\textcopyright} Springer India 2014.; 2nd International Conference on Soft Computing for Problem Solving, SocProS 2012 ; Conference date: 28-12-2012 Through 30-12-2012",
year = "2014",
doi = "10.1007/978-81-322-1602-5_21",
language = "English",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "189--198",
editor = "B.V. Babu and Atulya Nagar and Bansal, {Jagdish Chand} and Millie Pant and Kusum Deep and Kanad Ray and Umesh Gupta",
booktitle = "2nd International Conference on Soft Computing for Problem Solving, SocProS 2012, Proceedings",
address = "Germany",
}