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Title:Using Data Mining Techniques to Improve Software Reliability
Author(s):Li, Zhenmin
Doctoral Committee Chair(s):Zhou, Yuanyuan
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Computer Science
Abstract:Copy-pasted code is very common in large software, but it is prone to introducing bugs. CP-Miner uses frequent sequence mining to efficiently identify copy-pasted code in large software, and detects copy-paste related bugs. In order to further understand copy-paste in system software, this dissertation also analyzes some interesting characteristics of copy-paste in Linux and FreeBSD.
Issue Date:2006
Type:Text
Language:English
Description:139 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2006.
URI:http://hdl.handle.net/2142/81753
Other Identifier(s):(MiAaPQ)AAI3250281
Date Available in IDEALS:2015-09-25
Date Deposited:2006


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