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Collective Program Analysis
Contents Info
Collective Program Analysis
자료유형  
 학위논문
Control Number  
0014996717
International Standard Book Number  
9780438076242
Dewey Decimal Classification Number  
004
Main Entry-Personal Name  
Upadhyaya, Ganesha.
Publication, Distribution, etc. (Imprint  
[Sl] : Iowa State University, 2018
Publication, Distribution, etc. (Imprint  
Ann Arbor : ProQuest Dissertations & Theses, 2018
Physical Description  
120 p
General Note  
Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
General Note  
Adviser: Hridesh Rajan.
Dissertation Note  
Thesis (Ph.D.)--Iowa State University, 2018.
Summary, Etc.  
요약Encouraged by the success of data-driven software engineering (SE) techniques that have found numerous applications e.g. in defect prediction, specification inference, etc, the demand for mining and analyzing source code repositories at scale ha
Summary, Etc.  
요약First, we describe the general concept of collective program analysis. Given a mining task that is required to be run on thousands of artifacts, the artifacts with similar interactions are clustered together, such that the mining task is require
Summary, Etc.  
요약Given a mining task and an artifact producing an interaction pattern graph soundly and efficiently can be very challenging. We propose a pre-analysis and program compaction technique to achieve this. Given a source code mining task and thousands
Summary, Etc.  
요약Upon producing interaction pattern graphs of thousands of artifacts, they have to be clustered and the mining task results have to be reused between similar artifacts to achieve acceleration. In the final part of this thesis, we fully describes
Subject Added Entry-Topical Term  
Computer science
Added Entry-Corporate Name  
Iowa State University Computer Science
Host Item Entry  
Dissertation Abstracts International. 79-11B(E).
Host Item Entry  
Dissertation Abstract International
Electronic Location and Access  
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Control Number  
joongbu:553174
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