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dc.date.accessioned 2008-05-20T21:07:52Z
dc.date.available 2008-05-20T03:00:00Z
dc.date.issued 2006-10
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/9540
dc.description.abstract In this research a system, referred to as Jubair-Khaireddin (JK), has been developed to assess the degree of similarity between two programs even though they look superficially dissimilar. The JK system has the capability to detect deliberate attempts of plagiarism. Reverse engineering technique is used to bring each suspected program back to its initial specification stage. This operation enables us to extract the structure of the program which is an important factor in detecting plagiarism. This can be achieved through the extraction of the Static Execution Tree (SET) for each program. The SET is then transformed into Terminating Binary Sequence (TBS). The TBSs generated from the tested programs are compared in order to get similar branches. Reengineering technique is then applied on these similar branches in order to compute its entropy (information content). The entropy is computed to prove or disprove the existence of similarities between programs. The JK system has been tested on different Java programs with different modifications, and proved successful in detecting almost all cases including those of partially plagiarised programs. en
dc.format.extent 66-72 es
dc.language en es
dc.subject SOFTWARE ENGINEERING es
dc.subject Entropía es
dc.subject Plagio es
dc.subject Restructuring, reverse engineering, and reengineering es
dc.title The JK System to Detect Plagiarism en
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct06-2.pdf es
sedici.identifier.issn 1666-6038 es
sedici.creator.person Sabri, Khair Eddin M. es
sedici.creator.person Al-Jaafer, Jubair J. es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc/3.0/
sedici.description.peerReview peer-review es
sedici2003.identifier ARG-UNLP-ART-0000000560 es
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 6, no. 2 es


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Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)