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Automatic Construction of SP Problem-Solving Resource Space

机译:SP问题解决资源空间的自动构建

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The automation and adaptability of software systems to the dynamic environment and requirement variation is quite critical ability in cloud computing. This paper tends to organize vast stacks of problem solution resources for software processes into a structured resource space according to their topic words. The Resource Space model is well-developed by continuously adapting to its surroundings, expanding example group and refining model information. Resource topics are extracted with TDDF algorithm from document resources. Topic networks are established with topic connection strength. Then these topic networks are transformed into maximum spanning trees that are divided into different classification parts with pruning operation. This work may promotes automation of RS-based software service and development of novel software development in cloud computing environment.
机译:软件系统对动态环境和需求变化的自动化和适应性是云计算中相当关键的能力。本文倾向于根据其主题词将大量的软件解决方案问题资源组织到结构化的资源空间中。资源空间模型通过不断适应周围环境,扩展示例组和完善模型信息而得到了很好的开发。资源主题是使用TDDF算法从文档资源中提取的。建立具有主题连接强度的主题网络。然后将这些主题网络转换为最大生成树,并通过修剪操作将其分成不同的分类部分。这项工作可能会促进基于RS的软件服务的自动化以及在云计算环境中开发新颖的软件。

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