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Rozpoznávání podobností zdrojových kódů v systému Anton
 Všianský, Richard
The bachelor thesis deals with the implementation of an extension to the system Anton, which can recognize similarities across source codes in PHP. The basis for the extension is the algorithm Greedy String Tiling. The solution shows the results of comparison both numerically and graphically. The solution was tested on illustrative data as well as actual data from teaching.
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Využití explicitní sémantické analýzy pro detekci podobností ve zdrojových kódech
 Všianský, Richard
This diploma thesis deals with using of explicit semantic analysis for detection similarities in source codes in the context of plagiarism. For building a semantic interpreter 40 829 Wikipedia articles were used and the analysis was tested on 25 specially created documents using plagiarism techniques and 5 downloaded documents. The dataset was consisted of five languages: Java, Javascript, PHP, C++ and Python. Another dataset of 15 documents was used for testing random matches. It was demonstrated that the analysis is capable for the given dataset do detect similarities among different languages. Greedy String Tiling algorithm was used to refine the results and together with the explicit semantic analysis is implemented in the system Anton.
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