Title: Optimised class point approach for software effort estimation using adaptive neuro-fuzzy inference system model

Authors: Shashank Mouli Satapathy; Mukesh Kumar; Santanu Kumar Rath

Addresses: Department of Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela 769008, India ' Department of Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela 769008, India ' Department of Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela 769008, India

Abstract: The success of software development depends very much on proper estimation of effort required to develop the software. There is no simple way to make an accurate estimate of these parameters required to develop a software system. There are basically some points approach which are available for software effort estimation such as function point, use case point, class point, object point, etc. In this paper, our aim is to estimate the cost of various software projects using class point approach. The parameters are optimised using various soft computing techniques such as fuzzy logic and adaptive neuro-fuzzy logic so as to achieve better accuracy. Also, a comparative analysis of software effort estimation using the techniques such as artificial neural network (ANN), fuzzy logic (FL) and adaptive neuro-fuzzy inference system (ANFIS) has been provided.

Keywords: adaptive neuro-fuzzy inference system; ANFIS; artificial neural networks; ANNs; class points; function point; fuzzy logic; object-oriented systems; software effort estimation; software development; optimisation; software projects; project costs.

DOI: 10.1504/IJCAT.2016.080488

International Journal of Computer Applications in Technology, 2016 Vol.54 No.4, pp.323 - 333

Received: 24 Feb 2015
Accepted: 20 May 2015

Published online: 17 Nov 2016 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article