In medio stat virtus: Extract class refactoring through nash equilibria

G. Bavota, R. Oliveto, A. D. Lucia, Andrian Marcus, Yann-Gaël Guéhéneuc, G. Antoniol
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引用次数: 4

Abstract

Extract Class refactoring (ECR) is used to divide large classes with low cohesion into smaller, more cohesive classes. However, splitting a class might result in increased coupling in the system due to new dependencies between the extracted classes. Thus, ECR requires that a software engineer identifies a trade off between cohesion and coupling. Such a trade off may be difficult to identify manually because of the high complexity of the class to be refactored. In this paper, we present an approach based on game theory to identify refactoring solutions that provide a compromise between the desired increment in cohesion and the undesired increment in coupling. The results of an empirical evaluation indicate that the approach identifies meaningful ECRs from a developer's point-of-view.
通过纳什均衡提取类重构
提取类重构(ECR)用于将低内聚的大类划分为更小、更内聚的类。但是,由于提取的类之间存在新的依赖关系,拆分类可能会导致系统中的耦合增加。因此,ECR要求软件工程师在内聚和耦合之间进行权衡。由于要重构的类的高度复杂性,这种权衡可能很难手工确定。在本文中,我们提出了一种基于博弈论的方法来确定在期望的内聚增量和不希望的耦合增量之间提供折衷的重构解决方案。经验评估的结果表明,该方法从开发人员的角度确定了有意义的ecr。
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