ABSTRACT Background and Context Reports suggest plagiarism is a common occurrence in universities. While plagiarism detection mechanisms exist for textual artifacts, this is less so for non-code related ones such as software design artifacts like models, metamodels or model transformations. Objective To provide an efficient mechanism for the detection of plagiarism in repositories of Model-Driven Engineering (MDE) assignments. Method Our approach is based on the adaptation of the Locality Sensitive Hashing, an approximate nearest neighbor search mechanism, to the modeling technical space. We evaluate our approach on a real use case consisting of two repositories containing 10 years of student answers to MDE course assignments. Findings We have found that: effectively, plagiarism occurred on the aforementioned course assignments our tool was able to efficiently detect them. Implications Plagiarism detection must be integrated into the toolset and activities of MDE instructors in order to correctly evaluate students

中文翻译：

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软件建模作业的高效抄袭检测

摘要 背景和背景报告表明抄袭在大学中很常见。虽然存在针对文本工件的抄袭检测机制，但对于非代码相关的工件（例如模型、元模型或模型转换等软件设计工件）而言，这种情况就不那么重要了。目的为检测模型驱动工程 (MDE) 作业库中的抄袭提供一种有效的机制。方法 我们的方法基于局部敏感散列（一种近似最近邻搜索机制）对建模技术空间的适应性。我们在一个真实用例上评估我们的方法，该用例由两个存储库组成，其中包含 10 年学生对 MDE 课程作业的回答。结果 我们发现：有效地，剽窃发生在上述课程作业中，我们的工具能够有效地检测到它们。影响 剽窃检测必须集成到 MDE 教师的工具集和活动中，以便正确评估学生