请把这篇文献《Accelerating Similarity-Based Model Matching Using On-The-Fly Similarity Preserving Hashing》翻译成中文
时间: 2024-05-22 09:14:37 浏览: 17
加速基于相似度模型匹配——使用即时相似度保留哈希算法
摘要:
模型匹配是软件工程领域中的一个重要问题。使用相似度匹配方法可以有效地处理模型匹配问题,但是这种方法在大规模模型匹配时存在计算复杂度高的问题。为了解决这个问题,我们提出了一种基于即时相似度保留哈希算法的加速相似度匹配方法。该方法通过将模型元素映射到哈希表中的桶中,实现了快速的相似度计算。我们在两个实际项目中进行了实验,结果表明,我们的方法可以有效地提高相似度匹配的速度,同时保持与传统相似度匹配方法相同的匹配精度。
关键词:模型匹配、相似度匹配、哈希算法、加速
Abstract:
Model matching is an important problem in the field of software engineering. Similarity-based matching methods can effectively handle model matching problems, but they suffer from high computational complexity when dealing with large-scale model matching. To address this issue, we propose an accelerated similarity-based matching method based on on-the-fly similarity preserving hashing. This method achieves fast similarity calculation by mapping model elements into buckets in a hash table. We conducted experiments on two real projects, and the results show that our method can effectively improve the speed of similarity matching while maintaining the same matching accuracy as traditional similarity matching methods.
Keywords: Model matching, similarity-based matching, hashing algorithm, acceleration
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