Title: Usability estimation of component-based software system using adaptive neuro fuzzy approach

Authors: Jyoti Agarwal; Sanjay Kumar Dubey; Rajdev Tiwari

Addresses: Amity School of Engineering and Technology, Department of CSE, Amity University Uttar Pradesh, Sector 125, Noida, 201303, India; Greater Noida Institute of Technology, Knowledge Park-II, Greater Noida, 201310, India ' Amity School of Engineering and Technology, Department of CSE, Amity University Uttar Pradesh, Sector 125, Noida, 201303, India; Greater Noida Institute of Technology, Knowledge Park-II, Greater Noida, 201310, India ' Amity School of Engineering and Technology, Department of CSE, Amity University Uttar Pradesh, Sector 125, Noida, 201303, India; Greater Noida Institute of Technology, Knowledge Park-II, Greater Noida, 201310, India

Abstract: Cost effective development is the prime goal for software developers. To achieve this goal, nowadays, component-based software system (CBSS) are developed. In CBSS, the existing components are reused to develop a new software system which increases the reusability of components. It also reduces time and efforts of software developers, which is cost effective. The success or failure of software system depends on its usability. Usability can increase the market revenue. So, to increase the acceptance rate of CBSS among the users, it is important to evaluate the usability of CBSS before the software is released. In this paper, usability of CBSS is evaluated based on four input factors by using two widely used soft computing techniques, i.e., fuzzy logic and adaptive neuro fuzzy logic. Experimental results obtained from both the techniques are also compared and it is observed that ANFIS approach reduces the error rate and provide more accurate results. This research work will help the software developers to estimate the usability of CBSS in a more efficient manner.

Keywords: usability; component; software; fuzzy; adaptive neuro fuzzy; membership function.

DOI: 10.1504/IJAIP.2022.123018

International Journal of Advanced Intelligence Paradigms, 2022 Vol.22 No.1/2, pp.99 - 113

Received: 16 Dec 2017
Accepted: 13 Jul 2018
Published online: 23 May 2022 *

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