Tool for Visualization of Plagiarism in Several Programming Languages

The thesis describes the design and implementation of a plagiarism tool for programming languages C, Python and PHP. It describes techniques that are used to cover a plagiarism. The aim of this work is to create a tool for detection and visualization of plagiarisms covered up using these techniques. The tool performs detection by transforming input projects into an abstract syntactic tree, which is obtained by lexical and syntactic analysis. These trees will be compared by a proposed algorithm that uses node and subtree valuation using the {hash} function. The found parts of the code that could potentially lead to plagiarism are visualized in the form of a subtree of an abstract syntactic tree that represents the parts of the code found by the tool. Further, the work describes testing of this tool on identified plagiarism techniques and specifies which of them it can eliminate. In its conclusion, the work describes the possible further development of the tool