文章基本信息

标题：Software Size Estimation Using Fuzzy Backpropagation Network Method
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作者：B V A N S S Prabhakar Rao ; P Seetha Ramaiah
期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2012
卷号：9
期号：1
出版社：IJCSI Press
摘要：This paper presents the problems of effort estimation for software development projects. Most of the research has focused on the construction of formal software effort estimation models. All most all the models were typically based on the regression analysis or mathematically derived from theories from other domains. This paper focuses on Soft Computing Hybrid Systems in general and Fuzzy Back-propagation Network method in particular. Though Hybrid Systems have a tremendous potential to solve problems, an inappropriate use of the technology can backfire. Hybrid systems are those which employ integrated technologies to effectively solve the problem. Software development efforts estimation is the process of predicting the most realistic use of effort required to develop or maintain software product in an optimized way for the benefit of all the stakeholders. Effort estimates may be used as input to the plans, budgets, investment, pricing processes and bidding rounds. In this context we are suggesting the Fuzzy based Backpropagation Network to solve the problem and to produce the better results.
关键词：Artificial Neural Network; Backpropagation; Neuro;Fuzzy; Software Estimation; Fuzzy Logic; LOC; Sizing