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首页> 外文期刊>Journal of Computers >A Novel Optimized Path-Based Algorithm for Model Clone Detection
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A Novel Optimized Path-Based Algorithm for Model Clone Detection

机译:一种用于模型克隆检测的新型优化路径算法

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摘要

According to previous reports software clones are considered harmful for software maintenance. Likewise, model clones are problematic in model-based development. It is significant to detect model clones in software models. In this paper, we present a novel optimized path-based model clone detection algorithm (OPMCD). It first builds paths from block graphs, and then identifies clone instances from the common subsequence of paths. Moreover, an experiment is designed to evaluate the algorithm through comparing with the state-of-the-art of model clone detection algorithm ConQAT model clone detection (CMCD). The experiment result illustrates that OPMCD has better performance in terms of efficiency, and it is practically suitable for large-scale MATLAB/Simulink models.
机译:根据以前的报告,软件克隆被认为有害的软件维护。同样,模型克隆在基于模型的开发中存在问题。在软件模型中检测模型克隆很重要。在本文中,我们提出了一种新颖的基于路径的模型克隆检测算法(OPMCD)。它首先从块图中构建路径,然后从路径的公共子节点识别克隆实例。此外,实验旨在通过与模型克隆检测算法CONQAT模型克隆检测(CMCD)的最先进来评估算法。实验结果表明,OPMCD在效率方面具有更好的性能,并且实际上适用于大型MATLAB / SIMULINK模型。

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