Code Vision

dc.contributor.advisorOthman, Othman
dc.contributor.authorHassan, Basil
dc.contributor.authorAnabtawi, Saeed
dc.date.accessioned2017-10-26T10:13:04Z
dc.date.available2017-10-26T10:13:04Z
dc.date.issued2017
dc.description.abstractIn this project, we used different source code plagiarism detection methods such as Structure-based and keyword based to compare the accuracy and their ability to solve the problem. We build a modular scalable system that clusters and detects plagiarism in a visible form within a corpus of source files and test it aginst existing programs such as JPlag.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11888/10499
dc.language.isoenen_US
dc.titleCode Visionen_US
dc.typeGraduation Projecten_US
Files
Original bundle
Now showing 1 - 3 of 3
Loading...
Thumbnail Image
Name:
porjectslids.pptx
Size:
941.56 KB
Format:
Microsoft Powerpoint XML
Description:
Loading...
Thumbnail Image
Name:
doc225.pdf
Size:
295.06 KB
Format:
Adobe Portable Document Format
Description:
Loading...
Thumbnail Image
Name:
doc225.pdf
Size:
295.06 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: