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Applying Neuro-fuzzy Approach to build the Reusability Assessment Framework across Software Component Releases - An Empirical Evaluation

by Vijai Kumar, Rajesh Kumar, Arun Sharma
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 70 - Number 15
Year of Publication: 2013
Authors: Vijai Kumar, Rajesh Kumar, Arun Sharma
10.5120/12041-8047

Vijai Kumar, Rajesh Kumar, Arun Sharma . Applying Neuro-fuzzy Approach to build the Reusability Assessment Framework across Software Component Releases - An Empirical Evaluation. International Journal of Computer Applications. 70, 15 ( May 2013), 41-47. DOI=10.5120/12041-8047

@article{ 10.5120/12041-8047,
author = { Vijai Kumar, Rajesh Kumar, Arun Sharma },
title = { Applying Neuro-fuzzy Approach to build the Reusability Assessment Framework across Software Component Releases - An Empirical Evaluation },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 70 },
number = { 15 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 41-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume70/number15/12041-8047/ },
doi = { 10.5120/12041-8047 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:32:58.367863+05:30
%A Vijai Kumar
%A Rajesh Kumar
%A Arun Sharma
%T Applying Neuro-fuzzy Approach to build the Reusability Assessment Framework across Software Component Releases - An Empirical Evaluation
%J International Journal of Computer Applications
%@ 0975-8887
%V 70
%N 15
%P 41-47
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

To reduce the development time, software reuse methodologies have been used across the software industries. Software reuse is a method to assemble the software components from the existing software. To take advantage of reuse concept, it is necessary to measure the software reusability of the existing components. Although there are various statistical methods exists to find the reusability of the components but soft computing has not been explored for component reusability. The aim of this paper is to formulate, build, evaluate, validate and compare neuro-fuzzy approach in prediction of software reusability of software components during the subsequent releases of a software development process. In this research we have applied neuro-fuzzy approaches which yield to better accuracy than the standalone fuzzy and neural approach. We have taken four main dependent factors to estimate the reusability of software components. This proposed approach has also been validated against different releases of open source development. Also we have proposed a framework for component reusability Management in software component intermediate releases using the neuro-fuzzy approach. The analysis and results of the study shows that neuro-fuzzy provides better results as compare to Fuzzy Inference System and neural network but applicability of best approach depends on the data availability and the quantum of data.

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Index Terms

Computer Science
Information Sciences

Keywords

Components Component based system neuro-fuzzy reusability Software Metrics Prediction

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