Year: 2016
Type: dissertation
Abstract: We illustrate the state of the art in software plagiarism detection tools by comparing their features and testing them against a wide range of source codes. The source codes are copies of the same file disguised to hide plagiarism and show the tools accuracy at detecting each type. The decision to focus our research on plagiarism of programming languages is two fold: on one hand, it is a challenging case-study since programming languages impose a structured writing style; on the other hand, we are looking for the integration of such a tool in an Automatic-Grading System (AGS) developed to support teachers in the context of Programming courses. Based on that analysis, we set out to develop our own tool and describe the process from the architecture to the implementation. With examples of how the algorithms works. Followed by the analysis of the finished tool in terms of speed and accuracy against the ones in existence.
Author: Vítor T. Martins
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2528081643