%0 Journal Article
	%A Parvinder Singh Sandhu and  Dalwinder Singh Salaria and  Hardeep Singh
	%D 2008
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 15, 2008
	%T A Comparative Analysis of Fuzzy, Neuro-Fuzzy and Fuzzy-GA Based Approaches for Software Reusability Evaluation
	%U https://publications.waset.org/pdf/15811
	%V 15
	%X Software Reusability is primary attribute of software
quality. There are metrics for identifying the quality of reusable
components but the function that makes use of these metrics to find
reusability of software components is still not clear. These metrics if
identified in the design phase or even in the coding phase can help us
to reduce the rework by improving quality of reuse of the component
and hence improve the productivity due to probabilistic increase in
the reuse level. In this paper, we have devised the framework of
metrics that uses McCabe-s Cyclometric Complexity Measure for
Complexity measurement, Regularity Metric, Halstead Software
Science Indicator for Volume indication, Reuse Frequency metric
and Coupling Metric values of the software component as input
attributes and calculated reusability of the software component. Here,
comparative analysis of the fuzzy, Neuro-fuzzy and Fuzzy-GA
approaches is performed to evaluate the reusability of software
components and Fuzzy-GA results outperform the other used
approaches. The developed reusability model has produced high
precision results as expected by the human experts.
	%P 693 - 696