du.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
On Occurrence Of Plagiarism In Published Computer Science Thesis Reports At Swedish Universities
Dalarna University, School of Technology and Business Studies, Computer Engineering.
2010 (English)Independent thesis Advanced level (degree of Master (Two Years))Student thesis
Abstract [en]

In recent years, it has been observed that software clones and plagiarism are becoming an increased threat for one?s creativity. Clones are the results of copying and using other?s work. According to the Merriam – Webster dictionary, “A clone is one that appears to be a copy of an original form”. It is synonym to duplicate. Clones lead to redundancy of codes, but not all redundant code is a clone. On basis of this background knowledge ,in order to safeguard one?s idea and to avoid intentional code duplication for pretending other?s work as if their owns, software clone detection should be emphasized more. The objective of this paper is to review the methods for clone detection and to apply those methods for finding the extent of plagiarism occurrence among the Swedish Universities in Master level computer science department and to analyze the results.The rest part of the paper, discuss about software plagiarism detection which employs data analysis technique and then statistical analysis of the results. Plagiarism is an act of stealing and passing off the idea?s and words of another person?s as one?s own. Using data analysis technique, samples(Master level computer Science thesis report) were taken from various Swedish universities and processed in Ephorus anti plagiarism software detection. Ephorus gives the percentage of plagiarism for each thesis document, from this results statistical analysis were carried out using Minitab Software. The results gives a very low percentage of Plagiarism extent among the Swedish universities, which concludes that Plagiarism is not a threat to Sweden?s standard of education in computer science. This paper is based on data analysis, intelligence techniques, EPHORUS software plagiarism detection tool and MINITAB statistical software analysis.

Place, publisher, year, edition, pages
Borlange, Sweden, 2010. , 68 p.
Keyword [en]
Software clones, Software clones Detection, Clone Detection Methodologies, Plagiarism, Software Plagiarism Detection, Data Analysis, Ephorus, Minitab, Statistical Analysis
Identifiers
URN: urn:nbn:se:du-5377OAI: oai:dalea.du.se:5377DiVA: diva2:519024
Uppsok
Technology
Supervisors
Available from: 2011-02-22 Created: 2011-02-22 Last updated: 2012-04-24Bibliographically approved

Open Access in DiVA

fulltext(889 kB)782 downloads
File information
File name FULLTEXT01.pdfFile size 889 kBChecksum SHA-512
63df84c0499d7d1f6d252e3f7d4455c60f60574b2d645b0917cf1f4c39c06a6163fb8ca06c8f9babccb079e6b6540ac78c058482297749cc45d1f52b61b9dbfe
Type fulltextMimetype application/pdf

By organisation
Computer Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 782 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 1864 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf