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Dissertations from 2013

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Software Architecture Evolution, Jeffrey M. Barnes

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A Design Space for Adaptive Systems, Yuriy Brun, Ron Desmarais, Kurt Geihs, Marin Litoiu, Antonia Lopes, Mary Shaw, and Michael Smit

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Designing Privacy Notices: Supporting User Understanding and Control, Patrick Gage Kelley

Role of Design Spaces in Guiding a Software Design, Mary Shaw

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Software Engineering for Self-Adaptive Systems: A Second Research Roadmap., Mary Shaw

Submissions from 2010

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Active Elicitation of Data for Word Alignment, Vamshi Ambati, Stephan Vogel, and Jaime G. Carbonell

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Active Learning and Crowd-Sourcing for Machine Translation, Vamshi Ambati, Stephan Vogel, and Jaime G. Carbonell

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Active Semi-Supervised Learning for Improving Word Alignment, Vamshi Ambati, Stephan Vogel, and Jaime G. Carbonell

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Alternative Paths in HIV-1 Targeted Human Signal Transduction Pathways, Sivaraman Balakrishnan, Oznur Tastan, Jaime Carbonell, and Judith Klein-Seetharaman

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ATLAS: Automatic Term-Level Abstraction of RTL Designs, Bryan A. Brady, Randal E. Bryant, Sanjit A. Seshia, and John W. O'Leary

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Legally “Reasonable” Security Requirements: A 10-year FTC Retrospective, Travis D. Breaux and David L. Baumer

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Graph-Structured Multi-task Regression and an Efficient Optimization Method for General Fused Lasso Manuscript, Xi Chen, Seyoung Kim, Qihang Lin, Jaime G. Carbonell, and Eric P. Xing

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An Efficient Proximal-Gradient Method for Single and Multi-task Regression with Structured Sparsity, Xi Chen, Qihang Lin, Seyoung Kim, Javier Peña, Jaime G. Carbonell, and Eric P. Xing

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Learning Spatial-Temporal Varying Graphs with Applications to Climate Data Analysis, Xi Chen, Yan Liu, Han Liu, and Jaime G. Carbonell

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DeNovo: Rethinking Hardware for Disciplined Parallelism, Byn Choi, Rakesh Komuravelli, Hyojin Sung, Robert Bocchino, Sarita Adve, and Vikram Adve

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Software Engineering for Self-Adaptive Systems II, Rogério de Lemos, Holger Giese, Hausi A. Müller, and Mary Shaw

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A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy, Pinar Donmez, Jaime G. Carbonell, and Jeff Schneider

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Attentiveness: Reactivity at Scale, Gregory S. Hartman

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Socio-technical logics of correctness in the scientific software development ecosystem, James Howison and James Herbsleb

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Adaptive Gaussian Process for Short-TermWind Speed Forecasting, Xiaoqian Jiang, Bing Dong, Le Xie, and Latanya Sweeney

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Chunk-Based EBMT, Jae Dong Kim, Ralf D. Brown, and Jaime G. Carbonell

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Mitigating the Effects of Internet Timing Faults Across Embedded Network Gateways, Philip Koopman and Justin Ray

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Active Learning for Human Protein-Protein Interaction Prediction, Thahir P. Mohamed, Jaime G. Carbonell, and Madhavi K. Ganapathiraju

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A framework for synthesis of human gait oscillation using Intelligent Gait Oscillation Detector (IGOD), Soumik Mondal, Anup Nandy, Anirban Chakrabarti, Pavan Chakraborty, and Gora Nandi

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Recognizing & Interpreting Indian Sign Language Gesture for Human Robot Interaction, Anup Nandy, Soumik Mondal, Jay Shanka Prasad, Pavan Chakraborty, and Gora Nandi

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Active Learning for Membrane Protein Structure Prediction, Hatice U. Osmanbeyoglu, Jessica A. Wehner, Jaime G. Carbonell, and Madhavi K. Ganapathiraju

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The Impact of Process Discipline on Personal Software Quality and Productivity, Mark C. Paulk

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Research toward an engineering discipline for software, Mary Shaw

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Efficient Temporal Pattern Mining for Humanoid Robot, Upasna Singh and Gora Nandi

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Enhancing the efficiency of secure network monitoring through mobile agents, Shashank Srivastava and Gora Nandi

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Localization of Mobile Robots in a Network using Mobile Agents, Shashank Srivastava and Gora Nandi

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Low Cost Multicast Authentication via Validity Voting in Time-Triggered Embedded Control Networks, Chris Szilagy and Philip Koopman

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Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization, Liang Xiong, Xi Chen, Tzu-Kuo HUang, Jeff Schneider, and Jaime G. Carbonell

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Time-Evolving Collaborative Filtering, Liang Xiong, Xi Chen, Tzu-Kuo Huang, Jeff Schneider, and Jaime G. Carbonell

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Adaptive Proactive Learning with Cost-Reliability Tradeoff, Liu Yang and Jaime G. Carbonell

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Cost Complexity of Proactive Learning via a Reduction to Realizable Active Learning, Liu Yang and Jaime G. Carbonell

Submissions from 2009

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Proactive Learning for Building Machine Translation Systems for Minority Languages, Vamshi Ambati and Jaime G. Carbonell

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Extraction of Syntactic Translation Models from Parallel Data using Syntax from Source and Target Languages, Vamshi Ambati, Alon Lavie, and Jaime G. Carbonell

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Proceedings of the Workshop on Software Engineering Foundations for End-User Programming (SEEUP 2009), Len Bass, Grace A. Lewis, Brad Myers, and Dennis B. Smith

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Methodology for Designing Reasonably Expressive Mechanisms with Application to Ad Auctions, Michael Benisch, Norman Sadeh, and Tuomas Sandholm

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System Safety as an Emergent Property in Composite Systems, Jennifer Black and Philip Koopman

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Parallel Programming Must Be Deterministic by Default, Robert L. Bocchino, Vikram S. Adve, Sarita V. Adve, and Marc Snir

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Engineering Self-Adaptive Systems through Feedback Loops, Yuriy Brun, Giovann Di Marzo Serugendo, Cristina Gacek, Holger Giese, Holger M. Kienle, Marin Litoiu, Hausi Muller, Mauro Pezze, and Mary Shaw

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Software Engineering for Self-Adaptive Systems: A Research Roadmap, Betty H.C. Cheng, Rogério de Lemos, Holger Giese, Paola Inverardi, Jeff Magee, and Mary Shaw

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Accelerated Gradient Method for Multi-Task Sparse Learning Problems, Xi Chen, Weike Pan, James T. Kwok, and Jaime G. Carbonell

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"The Golden Age of Software Architecture" Revisited, Paul Clements and Mary Shaw

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Pushing the limits of rational agents: the Trading Agent Competition for Supply Chain Management, John Collins, Wolfgang Ketter, and Norman Sadeh

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API usability: Report on Special Interest Group at CHI, John Daughtry, Umer Farooq, Brad Myers, and Jeffrey Stylos

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Active Sampling for Rank Learning via Optimizing the Area Under the ROC Curve, Pinar Donmez and Jaime G. Carbonell

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Data Network Evaluation Criteria Handbook, Kevin Driscoll, Brendan Hall, Philip Koopman, Justin Ray, and Mike DeWalt

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Pairwise Document Classification for Relevance Feedback, Jonathan L. Elsas, Pinar Donmez, Jaime Callan, and Jaime G. Carbonell

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Analysis of uncertain data: Smoothing of histograms, Eugene Fink, Ankur Sarin, and Jaime G. Carbonell

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Active Learning in Example-Based Machine Translation, Rashmi Gangadharaiah, Ralf D. Brown, and Jaime G. Carbonell

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Analysis of uncertain data: Evaluation of given hypotheses, Anatole Gershman, Eugene Fink, Bin Fu, and Jaime G. Carbonell

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Analysis of uncertain data: Selection of probes for information gathering, Anatole Gershman, Eugene Fink, Bin Fu, and Jaime G. Carbonell

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Prior-Free Rare Category Detection, Jingrui He and Jaime G. Carbonell

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Software Mythbusters Explore Formal Methods, Ciera Jaspan, Michael Keeling, Larry MacCherone, Gabriel L. Zenarosa, and Mary Shaw

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From Sensor Network To Social NetworkÐ A Study On The Energy Impact In Buildings, Xiaoqian Jiang, Bing Dong, and Latanya Sweeney

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Designing CPG For Biped Locomotion Control Using Nonlinear Dynamical Theory, Preeti Kanyal

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A “Nutrition Label” for Privacy, Patrick Gage Kelley, Joanna Bresee, Lorrie Faith Cranor, and Robert W. Reeder

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The State of the Art in End-User Software Engineering, Andrew J. Ko, Robin Abraham, Laura Beckwith, Alan Blackwell, Margaret Burnett, Martin Erwig, Joseph Lawrance, Henry Lieberman, Brad Myers, Mary Beth Rosson, Gregg Rothermel, Chris Scaffidi, Mary Shaw, and Susan Wiedenbeck

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School of Phish: A Real-World Evaluation of Anti-Phishing Training, Ponnurangam Kumaraguru, Justin Cranshaw, Alessandro Acquisti, Lorrie Faith Cranor, Jason Hong, Mary Ann Blair, and Theodore Pham

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Information-Theoretic Approach to Efficient Adaptive Path Planning for Mobile Robotic Environmental Sensing, Kian Hsiang Low, John M. Dolan, and Pradeep Khosla

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Holistic Query Transformations for Dynamic Web Applications, Amit Manjhi, Charles Garrod, Bruce M. Maggs, Todd C. Mowry, and Anthony Tomasic

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A Comparative Study of Online Privacy Policies and Formats, Aleecia M. McDonald, Robert W. Reeder, Patrick Gage Kelley, and Lorrie Faith Cranor

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A Comparison of Strategies for Developmental Action Acquisition in QLAP, Jonathan Mugan and Benjamin Kuipers

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Autonomously Learning an Action Hierarchy Using a Learned Qualitative State Representation, Jonathan Mugan and Benjamin Kuipers

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Skill Reuse in Lifelong Developmental Learning, Jonathan Mugan and Benjamin Kuipers

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The Past, Present and Future of Programming in HCI, Brad Myers and Andrew Ko

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Development of Adaptive Modular Active Leg (AMAL) Using Bipedal Robotics Technology, Gora Nandi, A. J. Ijspeert, Pavan Chakraborty, and Anirban Nandi

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Statistical Sampling for Process Assessments, David M. Northcutt and Mark C. Paulk

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Visions for Euclase: Ideas for Supporting Creativity through Better Prototyping of Behaviors, Stephen Oney, Brad Myers, and John Zimmerman

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A History of the Capability Maturity Model for Software, Mark C. Paulk

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Identify Outliers, Understand the Process, Mark C. Paulk, Kim Lascola Needy, and Jayant Rajgopal

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MILO - Mobile Intelligent Linux Robot, Alok Rao, Satish Kumar, Amit Renu, and Gora Nandi

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Capturing Social Networking Privacy Preferences: Can Default Policies Help Alleviate Tradeoffs between Expressiveness and User Burden?, Ramprasad Ravichandran, Michael Benisch, Patrick Gage Kelley, and Norman Sadeh

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Data Management Mechanisms for Embedded System Gateways, Justin Ray and Philip Koopman

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Predicting Reuse of End-User Web Macro Scripts, Chris Scaffidi, Chris Bogart, Margaret Burnett, Allen Cypher, Brad Myers, and Mary Shaw

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Using traits of web macro scrips to predict reuse, Chris Scaffidi, Chris Bogart, Margaret Burnett, Allen Cypher, Brad Myers, and Mary Shaw

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Fast, Accurate Creation of Data Validation Formats by End-User Developers, Chris Scaffidi, Brad Myers, and Mary Shaw

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Inferring Reusability of End-User Programmers ’ Code from Low-Ceremony Evidence, Chris Scaffidi and Mary Shaw

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Reuse in the world of end-user programmers, Chris Scaffidi and Mary Shaw