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Research on the Method of Splitting Large Class Diagram Based on Multilevel Partitioning

机译:基于多级划分的大类图分割方法研究

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The UML class diagrams generated in reverse engineering are often large and the readability is poor. In this paper, an automatic split algorithm based on multilevel partitioning technology is proposed. According to the coupling degree between classes, the classes with high coupling are divided into the same part and the class with low coupling are separated. Experimental results show that, compared with the traditional manual division, the class diagram obtained by the automatic splitting method is more readable and consumes less time. Using the automatic splitting method to split the large class diagram can save a lot of time, improving work efficiency greatly.
机译:在逆向工程中生成的UML类图通常很大,可读性很差。提出了一种基于多层划分技术的自动分割算法。根据类别之间的耦合程度,将耦合程度高的类别划分为同一部分,并分离耦合程度低的类别。实验结果表明,与传统的手工分割相比,通过自动分割方法获得的类图更具可读性,并且消耗的时间更少。使用自动拆分方法拆分大类图可以节省大量时间,大大提高了工作效率。

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