Automatic recommendation of move method refactorings using clustering ensembles

T. Bryksin, Evgenii Novozhilov, A. Shpilman
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引用次数: 5

Abstract

In this paper, we are approaching the problem of automatic refactoring recommendation for object-oriented systems. An approach based on clustering ensembles is proposed, several heuristics to existing algorithms and to filtering and combining their results are discussed. Experimental validation of the proposed approach on an open source project is presented. The obtained preliminary results illustrate that the introduced approach could be successfully used to improve existing integrated development environments, providing developers with one more tool to reduce the complexity of their projects. The paper concludes with a discussion on the applicability of such automatic refactoring recommendation approaches to real-world software developed using common object-oriented techniques.
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使用聚类集成自动推荐移动方法重构
在本文中,我们正在探讨面向对象系统的自动重构建议问题。提出了一种基于聚类集成的方法,讨论了对现有算法的几种启发方法以及对其结果的过滤和组合。在一个开源项目上对该方法进行了实验验证。获得的初步结果表明,所引入的方法可以成功地用于改进现有的集成开发环境,为开发人员提供了另一种工具来减少项目的复杂性。本文最后讨论了这种自动重构推荐方法在使用普通面向对象技术开发的实际软件中的适用性。
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