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首页> 外文会议>International Conference on Conceptual Structures(ICCS 2004); 20040719-20040723; Huntsville,AL; US >Improving Generalization Level in UML Models Iterative Cross Generalization in Practice
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Improving Generalization Level in UML Models Iterative Cross Generalization in Practice

机译：在实践中提高UML模型迭代交叉泛化的泛化水平

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摘要

FCA has been successfully applied to software engineering tasks such as source code analysis and class hierarchy re-organization. Most notably, FCA puts mathematics behind the mechanism of abstracting from a set of concrete software artifacts. A key limitation of current FCA-based methods is the lack of support for relational information (e.g., associations between classes of a hierarchy): the focus is exclusively on artifact properties whereas inter-artifact relationships may encode crucial information. Consequently, feeding-in relations into the abstraction process may substantially improve its precision and thus open the access to qualitatively new generalizations. In this paper, we elaborate on ICG, an FCA-based methodology for extracting generic parts out of software models that are described as UML class diagrams. The components of ICG are located within the wider map of an FCA framework for relational data. A few experimental results drawn from an industrial project are also reflected on.
机译：FCA已成功应用于软件工程任务，例如源代码分析和类层次结构重组。最值得注意的是，FCA将数学置于从一组具体软件工件中进行抽象的机制的后面。当前基于FCA的方法的一个关键限制是缺乏对关系信息的支持（例如，层次结构的类之间的关联）：重点仅放在工件属性上，而工件之间的关系可能会编码关键信息。因此，将关系引入抽象过程可以大大提高其精度，从而为定性的新概括打开了访问的渠道。在本文中，我们将详细介绍ICG，这是一种基于FCA的方法，用于从描述为UML类图的软件模型中提取通用零件。 ICG的组件位于FCA关系数据框架的更广泛地图内。从工业项目中获得的一些实验结果也得到了反映。

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