An Approach of Extracting God Class Exploiting Both Structural and Semantic Similarity

Pritom Saha Akash, Ali Zafar Sadiq, Ahmedul Kabir
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引用次数: 4

Abstract

Code smell is a sign of design and development flaws in a software system which reduces the reusability and maintainability of the system. Refactoring is a continuous practice of eliminating code smells from the source code. A God Class is one of the most common code smells where too many responsibilities are defined in a single class. God Classes reduce the quality of a system by increasing coupling and decreasing cohesion. In this paper, we propose an approach for extracting a God Class into new classes by increasing class cohesion. For this, both structural and semantic relationship between methods in a class are analyzed, and strongly related methods are clustered and suggested to be in the same class. We assessed the proposed approach on fifteen real God Classes from two well-known open source systems and it is shown that the cohesion among the classes is increased after refactoring. A comparative result of our approach with a similar existing approach is presented and it is found that our approach provides better results for almost all the experimented God Classes.
一种利用结构和语义相似性提取上帝类的方法
代码气味是软件系统中设计和开发缺陷的标志,它降低了系统的可重用性和可维护性。重构是一种从源代码中消除代码异味的持续实践。God Class是在一个类中定义了太多职责的最常见的代码气味之一。神类通过增加耦合和减少内聚来降低系统的质量。在本文中,我们提出了一种通过增加类内聚来将神类提取为新类的方法。为此,分析了类中方法之间的结构关系和语义关系,并将强相关的方法聚类并建议放在同一个类中。我们对来自两个知名开源系统的15个真正的上帝类进行了评估,结果表明,重构后的类之间的内聚性得到了提高。将该方法与现有的类似方法进行了比较,结果表明,该方法对几乎所有被实验的神类都能提供更好的结果。
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