Code clone detection using sequential pattern mining / Ali Mohammad Mohammad Hassan ; Supervised Reem Mohamed Reda Bahgat , Mohammad M. Fawzi Elramly

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Ali Mohammad Mohammad Hassan

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TextLanguage: English Publication details: Cairo : Ali Mohammad Mohammad Hassan , 2013Description: 123 Leaves , (24) Leaves : facsimiles ; 30cmOther title:

إكتشاف الأجزاء المستنسخة فى البرمجيات باستخدام التنقيب فى البيانات المتتابعة [Added title page title]

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Dissertation note: Thesis (Ph.D.) - Cairo University - Faculty of Computers and Information - Department of Computer Science Summary: The thesis presents a new technique with different versions for clone detection using sequential pattern mining titled EgyCD. We developed a colne detection technique based on sequential pattern mining (Apriori-based). The thesis also presents a parallel and distributed data mining approach to code clone detection EgyCD can detect three types of code clones, Type-{u2160}, Type-{u2161} and Type-{u2162} as well as detecting plagiarism

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Holdings
Item type	Current library	Home library	Call number	Copy number	Status	Date due	Barcode
Thesis	قاعة الرسائل الجامعية - الدور الاول	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.20.03.Ph.D.2013.Al.C (Browse shelf(Opens below))		Not for loan		01010110061697000
CD - Rom	مخـــزن الرســائل الجـــامعية - البدروم	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.20.03.Ph.D.2013.Al.C (Browse shelf(Opens below))	61697.CD	Not for loan		01020110061697000

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Thesis (Ph.D.) - Cairo University - Faculty of Computers and Information - Department of Computer Science

The thesis presents a new technique with different versions for clone detection using sequential pattern mining titled EgyCD. We developed a colne detection technique based on sequential pattern mining (Apriori-based). The thesis also presents a parallel and distributed data mining approach to code clone detection EgyCD can detect three types of code clones, Type-{u2160}, Type-{u2161} and Type-{u2162} as well as detecting plagiarism

Issued also as CD

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