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undergraduate thesis
Alati za detekciju plagijata u programskim rješenjima
2020. urn:nbn:hr:137:096778
Devald, Valentina
University of Pula
Faculty of Informatics in Pula

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Devald, V. (2020). Alati za detekciju plagijata u programskim rješenjima (Undergraduate thesis). Pula: University of Pula. Retrieved from https://urn.nsk.hr/urn:nbn:hr:137:096778

Devald, Valentina. "Alati za detekciju plagijata u programskim rješenjima." Undergraduate thesis, University of Pula, 2020. https://urn.nsk.hr/urn:nbn:hr:137:096778

Devald, Valentina. "Alati za detekciju plagijata u programskim rješenjima." Undergraduate thesis, University of Pula, 2020. https://urn.nsk.hr/urn:nbn:hr:137:096778

Devald, V. (2020). 'Alati za detekciju plagijata u programskim rješenjima', Undergraduate thesis, University of Pula, accessed 15 April 2024, https://urn.nsk.hr/urn:nbn:hr:137:096778

Devald V. Alati za detekciju plagijata u programskim rješenjima [Undergraduate thesis]. Pula: University of Pula; 2020 [cited 2024 April 15] Available at: https://urn.nsk.hr/urn:nbn:hr:137:096778

V. Devald, "Alati za detekciju plagijata u programskim rješenjima", Undergraduate thesis, University of Pula, Pula, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:137:096778

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Metadata
TitleAlati za detekciju plagijata u programskim rješenjima
Title (english)Tools for detection of plagiarism in software solutions
AuthorValentina Devald
MentorTihomir Orehovački (mentor)
Committee memberGoran Oreški (predsjednik povjerenstva)
Committee memberTihomir Orehovački (član povjerenstva)
Committee memberRobert Šajina (član povjerenstva)
GranterUniversity of Pula
(Faculty of Informatics in Pula)
Pula
Defense date and country2020-10-15, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Information Systems and Information Science
Abstract
Kroz ovaj rad dat je prikaz plagijarizma programskog koda i alata za njihovu detekciju. Plagiranje programskog koda je problem koji se pojavljuje u akademskim i industrijskim krugovima, te ima izrazite negativne učinke na njihov daljnji rast i razvoj. Detekcija plagijata je potom prikazana kroz vrste tehnika i potom se izvršila kvalitativna usporedba značajki pojedinih programa za detekciju plagiranja programskog koda s obzirom na prethodna istraživanja. Osnovna hipoteza rada se sastojala od prikaza superiornosti alata koji koriste hibridne tehnike detekcije nad alatima koji koriste individualne tehnike detekcije plagijata. Rezultati prethodnih istraživanja su interpretirani i uz detaljnu analizu njihovih javno dostupnih svojstva dato je moguće objašnjenje za navedene obrasce efikasnosti pojedinih alata i njihova ograničenja.
Abstract (english)
This paper deals with an overview of computer code plagiarism and the tools for their detection. Programming code plagiarism is a problem that occurs in academic as well as industrial circles which has overwhelming negative effects on their further growth and development. Plagiarism detection is shown through the different types of techniques and afterwards a qualitative comparison, of the different features between individual programs for plagiarism detection, is analysed with respect to the results of previous research. The main hypothesis of this work is the superiority of hybrid technique based detection tools over single technique tools. Results of previous research are interpreted and, with a detailed analysis of their publicly available characteristics, a plausible explanation for the resulting efficiency patterns and limitations of individual products is given.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:137:096778
Study programmeTitle: Informatics
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2020-10-23 07:04:24