A Novel Approach for Measurement of Source Code Similarity

Mayank Agrawal, Vinod Jain, Atul Kumar Uttam

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Plagiarism is really a matter of concern. Plagiarism detection is a major issue while detecting at various levels. Finding plagiarism in source codes that can either be written in same language or different language, increases the complexity of plagiarism detection. People dealing with software designing and academic works are majorly affected by the plagiarism. In this paper we present a novel approach for measurement of code similarity to detect similarity between codes. With the help of the proposed approach, by using methods and functions we can compare the two source codes. This will lead to fair evaluation of assignments, as with the help of this tool we can easily detect Programming Assignment and copying of codes or function.

Original languageEnglish
Title of host publicationICRITO 2020 - IEEE 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions)
PublisherInstitute of Electrical and Electronics Engineers
Pages125-128
Number of pages4
ISBN (Electronic)9781728170169
DOIs
StatePublished - 1 Jun 2020
Externally publishedYes
Event8th IEEE International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2020 - Noida, India
Duration: 4 Jun 20205 Jun 2020

Publication series

NameICRITO 2020 - IEEE 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions)

Conference

Conference8th IEEE International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2020
Country/TerritoryIndia
CityNoida
Period4/06/205/06/20

Keywords

  • Plagiarism
  • Plagiarism detection tool
  • Similarity detection
  • Source code plagiarism

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing
  • Software
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Waste Management and Disposal
  • Control and Optimization

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