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1.
Deterministic Parallelization of Object-Oriented Code Through Out-of-Order Execution
by Jenista, James C., Ph.D.  University of California, Irvine. 2012: 291 pages; 3523925.
2.
Stationary fields in object -oriented programs
by Unkel, Christopher, Ph.D.  Stanford University. 2009: 98 pages; 3395874.
3.
Development of a tool to calculate object oriented software metrics on Java programs
by Diamante, Luciana Puntillo, M.S.  California State University, Long Beach. 2015: 89 pages; 1603551.
4.
Politics of Affect, Object-Oriented-Ontology, and Multitudes in "The Monk" and "Obi"
by Scheufler, Caitlin E., M.A.  State University of New York at Albany. 2016: 59 pages; 10110397.
5.
Principal component analyses for tree structured objects
by Aydin, Burcu, Ph.D.  The University of North Carolina at Chapel Hill. 2009: 83 pages; 3366476.
7.
Establishing an advanced engineering framework for engineering decision making
by McCorkle, Douglas Stinson, Ph.D.  Iowa State University. 2008: 191 pages; 3383366.
8.
Statistics for Time-Series Spatial Data: Applying Survival Analysis to Study Land-Use Change
by Wang, Ninghua Nathan, Ph.D.  University of California, Santa Barbara. 2013: 199 pages; 3612050.
9.
Discovering heap anomalies in the wild
by Jump, Maria Eva, Ph.D.  The University of Texas at Austin. 2009: 144 pages; 3373283.
11.
Quick Java refactoring tool
by Liu, Shendun, M.S.  California State University, Long Beach. 2013: 120 pages; 1524137.
12.
Over-the-Counter Data's Impact on Educators' Data Analysis Accuracy
by Rankin, Jenny Grant, Ph.D.  Northcentral University. 2013: 485 pages; 3575082.
13.
Interactive Data Management and Data Analysis
by Yang, Ying, Ph.D.  State University of New York at Buffalo. 2017: 119 pages; 10288109.
15.
Integrating "Code Smells" Detection with Refactoring Tool Support
by Nongpong, Kwankamol, Ph.D.  The University of Wisconsin - Milwaukee. 2012: 153 pages; 3523928.
16.
Randomization based privacy preserving categorical data analysis
by Guo, Ling, Ph.D.  The University of North Carolina at Charlotte. 2010: 127 pages; 3439261.
17.
Data mining techniques to enable large-scale exploratory analysis of heterogeneous scientific data
by Chopra, Pankaj, Ph.D.  North Carolina State University. 2009: 146 pages; 3360622.
18.
Multivariate analysis of proteomic data: Functional group analysis using a global test
by Fitzgerald-DeHoog, Lindsay M., M.S.  California State University, Long Beach. 2015: 135 pages; 1602759.
19.
Studying Low Complexity Structures in Bioinformatics Data Analysis of Biological and Biomedical Data
by Causey, Jason L., Ph.D.  University of Arkansas at Little Rock. 2017: 100 pages; 10750808.
20.
JSmell: A Bad Smell detection tool for Java systems
by Roperia, Naveen, M.S.  California State University, Long Beach. 2009: 77 pages; 1466306.
22.
Automatic code refactoring techniques for Java programs
by Tran, Phuoc, M.S.  California State University, Long Beach. 2016: 39 pages; 10096073.
24.
Introspective pushdown analysis and Nebo
by Earl, Christopher, Ph.D.  The University of Utah. 2014: 154 pages; 3621541.
26.
Writing (Dirty) New Media: Technorhetorical Opacity, Chimeras, and Dirty Ontology
by Hammer, Steven Reginald, Ph.D.  North Dakota State University. 2014: 227 pages; 3633105.
28.
Fine-grained complexity analysis of some combinatorial data science problems
by Froese, Vincent, Ph.D.  Technische Universitaet Berlin (Germany). 2018: 11014529.
30.
Abstract Syntax Tree-Based Code Smell Detection and Refactoring
by Patodiya aka Patoliya, Aditi aka Palak, M.S.  California State University, Long Beach. 2018: 66 pages; 10837962.
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