Review of existing tools for detecting plagiarism and self-plagiarism

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Published: 01.08.2019
UDC 004.051
DOI: https://doi.org/10.26907/1562-5419-2019-22-3-143-159
Issue
Vol. 22 No. 3 (2019)

Main Article Content

Алина Эдуардовна Тлитова
GDC Services
Александр Сергеевич Тощев
GDC Services

Abstract

All the time scientists need to publish the results of their work in order to remain relevant, meet the time, criteria, and not be outside the scientific community. The well-known principle of “publish or perish” often forces scientists to strive for quantity, not quality [1]. Along with the problems of authorship, paid research, the fabrication of the results, plagiarism and self-plagiarism are among the most common violations. Their impact is more subtle, but no less disruptive for the scientific community.
The article provides an overview of the existing tools for identifying borrowing in the scientific articles of the authors. Decisions’ analysis is performed by com-paring systems for a number of characteristics. The tools are tested on real data to investigate their performance and efficiency.

Article Details

Author Biographies

Алина Эдуардовна Тлитова

Master of ITIS Higher School, Software Testing Engineer.

Александр Сергеевич Тощев

Assistant of Software Engineering Department, Software Design Engineer.

References

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