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Split-Jaccard Distance of Hierarchical Decompositions for Software Architecture

机译:软件体系结构的分层分解的斯普里克雅克距离

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摘要

Most previous approaches on comparing the results for software architecture recovery are designed to handle only flat decompositions. In this paper, we propose a novel distance called Split-Jaccard Distance of Hierarchical Decompositions. It extends the Jaccard coefficient and incorporates the concept of the splits of leaves in a hierarchical decomposition. We analyze the proposed distance and derive its properties, including the lower-bound and the metric space.
机译:以前比较软件体系结构恢​​复结果的大多数方法仅用于处理平面分解。在本文中,我们提出了一种新颖的距离,称为“分层分解的斯普利特-雅卡德距离”。它扩展了Jaccard系数,并在分层分解中合并了叶子拆分的概念。我们分析建议的距离并推导其属性,包括下界和度量空间。

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