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Abstract
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Article Information:
ANFIS Approach for Optimal Selection of Reusable Components
K.S. Ravichandran, P. Suresh and K.R. Sekr
Corresponding Author: K.S. Ravichandran
Submitted: March 14, 2012
Accepted: April 08, 2012
Published: December 15, 2012 |
Abstract:
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In a growing world, the development of modern software system requires large-scale manpower,
high development cost, larger completion time and high risk of maintaining the software quality. Component-
Based Software Development (CBSD) approach is based on the concept of developing modern software
systems by selecting the appropriate reusable components or COTS (Commercial Off-The-Shelf) components
and then assembling them with well-defined software architecture. The proper selection of COTS components
will really reduce the manpower, development cost, product completion time, risk, maintenance cost and also
it addresses the high quality software product. In this paper, we develop an automated process of component
selection by using Adaptive Neuro-Fuzzy Inference Systems (ANFIS) based technique by using 14 reusable
components’ parameters as a first time in this field. Again, for increasing the accuracy of a model, Fuzzy-
Weighted-Relational-Coefficient (FWRC) matrix is derived between the components and CBS development
with the help of 14 component parameters, namely, Reliability, Stability, Portability, Consistency,
Completeness, Interface & Structural Complexity, Understandability of Software Documents, Security,
Usability, Accuracy, Compatibility, Performance, Serviceability and Customizable. In the recent literature
studies reveals that almost all the researchers have been designed a general fuzzy-design rule for a component
selection problem of all kinds of software architecture; but it leads to a poor selection of components and this
paper suggests adoption of a specific fuzzy-design rule for every software architecture application for the
selection of reusable components. Finally, it is concluded that the selection of reusable components through
ANFIS performs better than the other models discussed so far.
Key words: ANFIS, CBSD, fuzzy logic, reusable components, , ,
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Cite this Reference:
K.S. Ravichandran, P. Suresh and K.R. Sekr, . ANFIS Approach for Optimal Selection of Reusable Components. Research Journal of Applied Sciences, Engineering and Technology, (24): 5304-5312.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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