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.
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