Cody Kinneer

About

Welcome, my name is Cody Kinneer and I am a software engineering PhD student at the Institute for Software Research at Carnegie Mellon University. I am excited about discovery, and my research collaborations have resulted in published papers and released software. For more information, you can view my curriculum vitae and GitHub repositories.

Thesis Proposal

Search-based Plan Reuse in Self-* Systems

Publications

Building Reusable Repertoires for Stochastic Self-* Planners

Authors: Cody Kinneer, Rijnard van Tonder, David Garlan, Claire Le Goues

Modeling observability in adaptive systems to defend against advanced persistent threats

Authors: Cody Kinneer, Ryan Wagner, Fei Fang, Claire Le Goues, and David Garlan

DARTSim: an exemplar for evaluation and comparison of self-adaptation approaches for smart cyber-physical systems

Authors: Gabriel A. Moreno, Cody Kinneer, Ashutosh Pandey, and David Garlan

Dissimilarity Measures for Clustering Space Mission Architectures

Authors: Cody Kinneer and Sebastian J. I. Herzig

Managing Uncertainty in Self-Adaptive Systems with Plan Reuse and Stochastic Search

Authors: Cody Kinneer, Zack Coker, Jiacheng Wang, David Garlan and Claire Le Goues

SchemaAnalyst: Search-based Test Data Generation for Relational Database Schemas

Authors: Phil McMinn, Chris J. Wright, Cody Kinneer, Colton J. McCurdy, Michael Camara, and Gregory M. Kapfhammer

Automatically Evaluating The Efficiency Of Search-based Test Data Generation For Relational Database Schemas

Authors: Cody Kinneer, Gregory M. Kapfhammer, Chris J. Wright, and Phil McMinn

Expose: Inferring Worst-case Time Complexity By Automatic Empirical Study

Authors: Cody Kinneer, Gregory M. Kapfhammer, Chris J. Wright, and Phil McMinn

Presentations

SchemaAnalyst: Search-based Test Data Generation for Relational Database Schemas

Automatically Evaluating The Efficiency Of Search Based Test Data Generation