论共变集群的概念衔接

M. Oliveira, R. Bonifácio, G. N. Ramos, Márcio Ribeiro
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引用次数: 5

摘要

将共变集群作为一种可选的软件分解进行分析,可以提供对模块化不同视角的见解。但是,通常使用粗粒度实体的方法不能提供相关信息,比如从共变集群中产生的模块化抽象的概念内聚。这项工作提出了一种新的方法来分析与细粒度实体的共变集群相关的源代码的概念内聚。我们从版本控制系统中的变更历史信息中获得。我们描述了使用我们的方法来分析来自不同领域的六个成熟且目前活跃的开源项目,以及巴西政府在金融领域最相关的系统之一。结果表明,共变集群提供了一种基于实体之间具有高概念内聚(比原始包分解高出69%)的组的代码的新视角,因此,适合于检测代码库中渗透的概念,通过共变集群中包含的概念打开了理解源代码的新可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the Conceptual Cohesion of Co-Change Clusters
The analysis of co-change clusters as an alternative software decomposition can provide insights on different perspectives of modularity. But the usual approach using coarse-grained entities does not provide relevant information, like the conceptual cohesion of the modular abstractions that emerge from co-change clusters. This work presents a novel approach to analyze the conceptual cohesion of the source-code associated with co-change clusters of fine-grained entities. We obtain from the change history information found in version control systems. We describe the use of our approach to analyze six well established and currently active open-source projects from different domains and one of the most relevant systems of the Brazilian Government for the financial domain. The results show that co-change clusters offer a new perspective on the code based on groups with high conceptual cohesion between its entities (up to 69% more than the original package decomposition), and, thus, are suited to detect concepts pervaded on codebases, opening new possibilities of comprehension of source-code by means of the concepts embodied in the co-change clusters.
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