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Application of active learning strategy and formalization method in requirement analysis

机译:主动学习策略和形式化方法在需求分析中的应用

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摘要

On base of research and analysis for Bayesian network classifier, active learning strategy and formalization method, this paper proposed a new approach for software requirement analysis based on active learning strategy and formalization method. This approach combined of the Bayesian network, Bayesian network classifier, active learning strategy and formalization method, and improved the approach in the requirement analysis to get the better reusability and the extensibility. This approach eliminated the ambiguity, partialness, inconsistency of system, and provided a reasonable solution for uncertain problem in requirement analysis, therefore improved the performance and the quality of the software.
机译:在对贝叶斯网络分类器,主动学习策略和形式化方法进行研究和分析的基础上,提出了一种基于主动学习策略和形式化方法的软件需求分析新方法。该方法结合了贝叶斯网络,贝叶斯网络分类器,主动学习策略和形式化方法,并对需求分析中的方法进行了改进,以实现更好的可重用性和可扩展性。该方法消除了系统的歧义,局部性,不一致性,为需求分析中的不确定性问题提供了合理的解决方案,从而提高了软件的性能和质量。

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