Index-based model clone detection
Index-based model clone detection
复制标题
基于索引的模型克隆检测
DOI：
10.1145/1985404.1985409
复制
发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Daniela Steidl
中科院分区：
文献类型：
--
作者：
B. Hummel;Elmar Jürgens;Daniela Steidl
现有的模型克隆检测算法以批量模式运行。因此，如果在维护期间一个大型模型的一小部分发生变化，就需要重新计算整个检测过程以生成更新的克隆信息。由于这可能需要几个小时，缺乏增量检测算法阻碍了克隆管理，而克隆管理需要最新的克隆信息。在本文中，我们提出了一种基于索引的模型克隆检测算法，该算法是增量式的且可分布式运行。我们展示了一个案例研究，证明了它的能力，概述了它目前的局限性，并提出了未来工作的方向。
Existing algorithms for model clone detection operate in batch mode. Consequently, if a small part of a large model changes during maintenance, the entire detection needs to be recomputed to produce updated cloning information. Since this can take several hours, the lack of incremental detection algorithms hinders clone management, which requires up-to-date cloning information. In this paper we present an index-based algorithm for model clone detection that is incremental and distributable. We present a case study that demonstrates its capabilities, outline its current limitations and present directions for future work.