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AUTOMATIC PLAGIARISM DETECTION IN PROGRAMMING LABORATORY COURSES

机译:编程实验室课程中的自动抄袭检测

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In programming language courses, programming exercises and assignments are typical measurable tasks used to determine the skills and knowledge of students on the respective programming language. On the other hand, widespread access to the Internet has served as something of a double-edged sword with respect to plagiarism appearance in exercises, assignments, etc. We present a viable architecture implementing plagiarism detection and decision in a programming laboratory environment. The proposed architecture could be realized as an extension of an already implemented diagnosing and evaluation system for laboratory based academic exercises, which exploits the legacy system as well as the already existing plagiarism detection tools, such as MOSS or JPlag. We combine the input of plagiarism detection tools with the corresponding logging information of the existing monitoring and tracing subsystem of the legacy system, in order to conclude in a safer manner whether a case of potential plagiarism indeed is plagiarism or not.
机译:在编程语言课程中,编程练习和作业是典型的可衡量任务,用于确定各自编程语言的学生的技能和知识。另一方面,对互联网的广泛访问已经作为练习,作业等抄袭出现的双刃剑的东西。我们在编程实验室环境中实现了一种实现抄袭检测和决定的可行建筑。拟议的架构可以实现为已经实现的基于实验室的学术锻炼的已经实现的诊断和评估系统的扩展,这利用了遗留系统以及已经存在的抄袭检测工具,例如苔藓或JPLAG。我们将抄袭检测工具的输入与传统系统的现有监测和追踪子系统的相应测井信息相结合,以便以更安全的方式结束,无论是潜在的抄袭确实是抄袭的情况。

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