An investigation of using Neuro-Fuzzy with software size estimation

Justin Wong, D. Ho, Luiz Fernando Capretz
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引用次数: 13

Abstract

Neuro-Fuzzy refers to a hybrid intelligent system using both neural network and fuzzy logic. In this study, neuro-fuzzy is applied to a backfiring and categorical data size estimation model. Evaluation was conducted to determine whether a neuro-fuzzy approach improves software size estimations. It was found that a neuro-fuzzy approach provides minimal improvement over the traditional backfiring sizing technique.
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神经模糊算法在软件大小估计中的应用研究
神经模糊智能系统是一种结合了神经网络和模糊逻辑的混合智能系统。在本研究中,神经模糊应用于一个反向和分类数据大小估计模型。进行评估以确定神经模糊方法是否可以改善软件大小估计。研究发现,神经模糊方法比传统的回火分级技术提供了最小的改进。
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