更大规模的程式设计课程抄袭侦测问题

Michal Duracík, Emil Krsák, Patrik Hrkút
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引用次数: 4

摘要

信息学和编程是目前最受欢迎的研究领域之一。这一领域的发展如此之快,以至于学生在学习期间使用的主要资源之一就是互联网。问题是,互联网上各种各样的资源经常鼓励学生将这些资源复制到他们的作品中,并进行抄袭。本文将重点讨论计算机科学教学中的剽窃问题。我们将现有的检测源代码抄袭的工具与我们提出的算法进行了比较。作为测试数据集,我们将使用我们大学所教课程的学期作品。对于这种比较,有必要定制所建议的算法,以便它可以处理Java源代码。我们将重点关注每个算法的准确性和完整性。我们还将尝试删除自动生成的代码作为抄袭的无用检测。
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Issues with the Detection of Plagiarism in Programming Courses on a Larger Scale
Informatics and programming are currently one of the most popular areas of study. Evolution in this area happens so quickly that one of the main sources which students use during their studies is the Internet. The issue is that this variety of resources available on the Internet often encourage students to copy these resources to their work and to commit plagiarism. In this paper, we will focus on plagiarism problems in computer science teaching. We compare available tools to detect plagiarism in the source code with the algorithm proposed by us. As the test dataset we will use the semester works from the courses taught at our university. For this comparison, it will be necessary to customize the proposed algorithm, so it can handle Java source codes. We will focus on the accuracy and completeness of each algorithm. We will also attempt to remove the useless detecting of automatically generated code as a plagiarism.
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