id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-523	R. Josphineleela	Design of Software Reliability Prediction using Radial Basis Function Networks with Nonlinear Analysis and Topological Considerations	2024	12	.pdf	application/pdf	3509	189	33	Keywords: Radial Basis Function Networks, software reliability prediction, software quality, machine learning, predictive modeling Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 31 No. 2 (2024) 108 https://internationalpubls.com 1. Introduction Software reliability is a pivotal concern in contemporary software development, given its direct impact on user satisfaction, business profitability, and organizational reputation. In the conducted experiments over ten datasets, we evaluated the performance of the proposed method for software reliability prediction using RBFNs and compared it with the existing methods.	cache/cana-523.pdf	txt/cana-523.txt