Clone detection in student programs based on lexical analysis of source codes

Autor:	V E Ivanova, O N Polovikova
Rok vydání:	2020
Předmět:	History Source code Computer science media_common.quotation_subject Lexical analysis Computational biology Computer Science Applications Education media_common
Zdroj:	Journal of Physics: Conference Series. 1615:012021
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/1615/1/012021
Popis:	This article presents the development of automatic clone detection for verification students programs - the Detector of Clones. The Levenshtein Distance is used for the initial assessment of the similarity of the two token sequences which is calculated by the Wagner-Fisher algorithm. Verification of two programs is carried out by the fingerprint method and by the winnowing method. To improve the results of plagiarism assessment, an additional calculation was added to the implementation of the winnowing method: the detector compares not only the labels themselves, but also the sequences near the matching labels. The detector of clones is formed for the cycle of disciplines Object Oriented Programming, Object Oriented Analysis and Design on the Moodle platform. These tools support C-like languages (C++ and C#). In general, the work of the detector undoubtedly made it possible to increase the consistency in verification of student programs.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5310f4c4021c400e241524054c631cdf https://doi.org/10.1088/1742-6596/1615/1/012021 Zobrazit plný text záznamu