Automatic identification of the anti-patterns using the rule-based approach

I. Polásek, Samuel Snopko, I. Kapustik
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引用次数: 6

Abstract

Adjustment and rebuilding of the source code is an integral part of the software engineering life cycle, mainly in modern Agile Modeling and eXtreme Programming. Fowler identified 22 bad smells that could be found in the refactoring process and this set is still growing for model flaws in the UML diagrams as well. This paper proposes a set of bad smells that may be found in software models and a way for creating facts and rules for finding them in the models.
使用基于规则的方法自动识别反模式
源代码的调整和重建是软件工程生命周期中不可或缺的一部分,主要体现在现代敏捷建模和极限编程中。Fowler在重构过程中发现了22种不好的气味,并且由于UML图中的模型缺陷,这些气味还在不断增加。本文提出了一组可能在软件模型中发现的不良气味,以及一种创建事实和在模型中发现它们的规则的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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