An expert committee model to estimate lines of code-Reference-Cited by-同舟云学术

An expert committee model to estimate lines of code

Published:2005-09 Issue:5 Volume:30 Page:1-4
ISSN:0163-5948
Container-title:ACM SIGSOFT Software Engineering Notes
language:en
Short-container-title:SIGSOFT Softw. Eng. Notes

Author:

Aggarwal K. K.¹,Singh Yogesh¹,Chandra Pravin¹,Puri Manimala²

Affiliation:

1. GGS Indraprastha University, Delhi, India

2. D.Y.Patil, COE, Pune, India

Abstract

Resource Estimation is a challenging activity, in the early stages of project development. Once the functionality desired by the user is ascertained, function points can be calculated. This paper proposes to estimate Lines of Code once the Function Point count is known, using linear regression techniques and also a neural network model. These two are then combined to propose an expert committee model which gives better results. This is validated by empirical data available from ISBSG data set (release 9).

Publisher

Association for Computing Machinery (ACM)

Link

https://dl.acm.org/doi/pdf/10.1145/1095430.1095439

Reference22 articles.

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5. K. K. Aggarwal Yogesh Singh M. M. Puri Bayesian Regularization in a Neural Network Model to estimate Lines of Code using Function Points - To be Published in journal of Computer Science New York USA. K. K. Aggarwal Yogesh Singh M. M. Puri Bayesian Regularization in a Neural Network Model to estimate Lines of Code using Function Points - To be Published in journal of Computer Science New York USA.

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