Evaluating the robustness of source code plagiarism detection tools to pervasive plagiarism-hiding modifications

Plagiarism Detection in Source Code

Evaluating the Performance of LSA for Source-code Plagiarism Detection

Latent Semantic Analysis (LSA) is an intelligent information retrieval technique that uses mathematical algorithms for analyzing large corpora of text and revealing the underlying semantic information of documents. LSA is a highly parameterized statistical method, and its effectiveness is driven by the setting of its parameters which are adjusted based on the task to which it is applied. This p...

Normalization based Stop-Word approach to Source Code Plagiarism Detection

This paper is a report of PES Institute of Technology’s participation in the Cross Language Detection of Source Code Reuse (CL-SOCO) task at FIRE 2015 [1]. We approach this task as text document plagiarism task, without considering formal programming language grammatical structure. We use normalization of commonly used identifiers to detect pair of programs which have the same objective. We als...

Evaluating Robustness for 'IPCRESS': Surrey's Text Alignment for Plagiarism Detection

This paper briefly describes the approach taken to the subtask of Text Alignment in the Plagiarism Detection track at PAN 14. We have now reimplemented our PAN12 approach in a consistent programmatic manner, courtesy of secured research funding. PAN 14 offers us the first opportunity to evaluate the performance/consistency of this re-implementation. We present results from this re-implementatio...

Plagiarism Detection in Computer Code

The ease with which computer code can be copied by students presents opportunities for plagiarism on programming projects. Presently, instructors are provided with few tools (if any) that assist them in detecting possible plagiarism in an assignment. Therefore, the only solution is a tedious and error prone by hand check of student submissions, looking for similarity between any two. In this th...