| 基于因素神经网络的软件工程质量评价 |
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| 引用本文： | 殷超,刘宏志. 基于因素神经网络的软件工程质量评价[J]. 北京工商大学学报(自然科学版), 2007, 25(3): 70-73 |
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| 作者姓名： | 殷超 刘宏志 |
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| 作者单位： | 北京工商大学,计算机学院,北京,100037 |
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| 摘 要： | 基于模糊理论及因素神经网络的优点,提出了一种软件工程质量评价模型.该模型具有推理过程清晰,应用性好等特点.应用该模型进行软件工程质量评价,不但可以反映定量因素对软件工程质量的影响,而且对非定量因素的影响也可作出全面的评价,从而为建立一个精确的软件工程质量评价体系提供了一条新途径.
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| 关 键 词： | 软件工程质量评价 因素神经网络 模糊理论 |
| 文章编号： | 1671-1513（2007）03-0070-04 |
| 收稿时间： | 2006-10-26 |
| 修稿时间： | 2006-10-26 |
SOFTWARE ENGINEERING QUALITY ASSESSMENT BASED ON FACTOR NEURAL NETWORK |
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| YIN Chao,LIU Hong-zhi. SOFTWARE ENGINEERING QUALITY ASSESSMENT BASED ON FACTOR NEURAL NETWORK[J]. Journal of Beijing Technology and Business University:Natural Science Edition, 2007, 25(3): 70-73 |
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| Authors: | YIN Chao LIU Hong-zhi |
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| Affiliation: | College of Computer Science and Technology, Beijing Technology and Business University, Beijing 100037, China |
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| Abstract: | On the basis of the merits of fuzzy theory and factor neural network,a new model for software engineering quality assessment is proposed.The model has many characteristics,such as distinct reasoning,better application.Not only does the model express the effect of quantitative factors,but also is capable of assessing that of the qualitative factors generally,which offers a new approach for establishing precise software engineering assessment system. |
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| Keywords: | software engineering quality evaluation factor neural network fuzzy theory |
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