Erik M. Fredericks

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 32

Top Topics

Story Generation

Optimal Configuration

Top Venues

ACM SIGSOFT Softw. Eng. Notes

Publications

Erik M. Fredericks, Jared M. Moore, Abigail C. Diller
GenerativeGI: creating generative art with genetic improvement. Autom. Softw. Eng. 31 (1) (2024)
Erik M. Fredericks, Denton Bobeldyk, Jared M. Moore
Crafting Generative Art through Genetic Improvement: Managing Creative Outputs in Diverse Fitness Landscapes. CoRR (2024)
William B. Langdon, Gabin An, Aymeric Blot, Vesna Nowack, Justyna Petke, Shin Yoo, Oliver Krauss, Erik M. Fredericks, Daniel Blackwell
The 13th International Workshop on Genetic Improvement(GI @ ICSE 2024). ACM SIGSOFT Softw. Eng. Notes 49 (3) (2024)
Erik M. Fredericks, Abigail C. Diller, Jared M. Moore
Generative Art via Grammatical Evolution. GI (2023)
William B. Langdon, Vesna Nowack, Justyna Petke, Markus Wagner, Hyeonseok Lee, Erik M. Fredericks, Gabin An, Aymeric Blot
Genetic Improvement @ ICSE 2023. ACM SIGSOFT Softw. Eng. Notes 48 (4) (2023)
Erik M. Fredericks, Byron DeVries, Jared M. Moore
Towards Self-Adaptive Game Logic. CoRR (2022)
Erik M. Fredericks, Byron DeVries, Jared M. Moore
Towards Self-Adaptive Game Logic. GAS@ICSE (2022)
Abigail C. Diller, Erik M. Fredericks
Towards Run-Time Search for Real-World Multi-Agent Systems. SBST@ICSE (2022)
Abigail C. Diller, Erik M. Fredericks
Towards Run-Time Search for Real-World Multi-Agent Systems. CoRR (2022)
Erik M. Fredericks, Byron DeVries
(Genetically) Improving Novelty in Procedural Story Generation. GI@ICSE (2021)
Huma Samin, Luis Hernán García Paucar, Nelly Bencomo, Cesar M. Carranza Hurtado, Erik M. Fredericks
RDMSim: An Exemplar for Evaluation and Comparison of Decision-Making Techniques for Self-Adaptation. SEAMS@ICSE (2021)
Byron DeVries, Erik M. Fredericks, Betty H. C. Cheng
Analysis and Monitoring of Cyber-Physical Systems via Environmental Domain Knowledge & Modeling. SEAMS@ICSE (2021)
Huma Samin, Luis Hernán García Paucar, Nelly Bencomo, Cesar M. Carranza Hurtado, Erik M. Fredericks
RDMSim: An Exemplar for Evaluation and Comparison of Decision-Making Techniques for Self-Adaptation. CoRR (2021)
Erik M. Fredericks, Byron DeVries
(Genetically) Improving Novelty in Procedural Story Generation. CoRR (2021)
William B. Langdon, Westley Weimer, Justyna Petke, Erik M. Fredericks, Seongmin Lee, Emily Winter, Michail Basios, Myra B. Cohen, Aymeric Blot, Markus Wagner, Bobby R. Bruce, Shin Yoo, Simos Gerasimou, Oliver Krauss, Yu Huang, Michael C. Gerten
Genetic Improvement @ ICSE 2020. ACM SIGSOFT Softw. Eng. Notes 45 (4) (2020)
Erik M. Fredericks, Jared M. Moore
Search@Home: A Commercial Off-the-Shelf Environment for Investigating Optimization Problems. CoRR (2020)
Kate M. Bowers, Erik M. Fredericks, Reihaneh H. Hariri, Betty H. C. Cheng
Providentia: Using search-based heuristics to optimize satisficement and competing concerns between functional and non-functional objectives in self-adaptive systems. J. Syst. Softw. 162 (2020)
Erik M. Fredericks, Jared M. Moore
Search@Home: A Commercial Off-the-Shelf Environment for Investigating Optimization Problems. SSBSE (2020)
William B. Langdon, Westley Weimer, Justyna Petke, Erik M. Fredericks, Seongmin Lee, Emily Winter, Michail Basios, Myra B. Cohen, Aymeric Blot, Markus Wagner, Bobby R. Bruce, Shin Yoo, Simos Gerasimou, Oliver Krauss, Yu Huang, Michael C. Gerten
Genetic Improvement @ ICSE 2020. CoRR (2020)
Erik M. Fredericks, Ilias Gerostathopoulos, Christian Krupitzer, Thomas Vogel
Planning as Optimization: Dynamically Discovering Optimal Configurations for Runtime Situations. SASO (2019)
Reihaneh H. Hariri, Erik M. Fredericks, Kate M. Bowers
Uncertainty in big data analytics: survey, opportunities, and challenges. J. Big Data 6 (2019)
Erik M. Fredericks, Ilias Gerostathopoulos, Christian Krupitzer, Thomas Vogel
Planning as Optimization: Dynamically Discovering Optimal Configurations for Runtime Situations. CoRR (2019)
Erik M. Fredericks, Kate M. Bowers, Reihaneh H. Hariri
On incorporating search-based heuristics into real-world systems. SBST@ICSE (2019)
Erik M. Fredericks, Kate M. Bowers, Katey A. Price, Reihaneh H. Hariri
CAL: A Smart Home Environment for Monitoring Cognitive Decline. ICDCS (2018)
Reihaneh H. Hariri, Erik M. Fredericks
Towards Traceability Link Recovery for Self-Adaptive Systems. AAAI Workshops (2018)
Kate M. Bowers, Erik M. Fredericks, Betty H. C. Cheng
Automated Optimization of Weighted Non-functional Objectives in Self-adaptive Systems. SSBSE (2018)
Erik M. Fredericks
An empirical analysis of the mutation operator for run-time adaptive testing in self-adaptive systems. SBST@ICSE (2018)
Sami S. Albouq, Erik M. Fredericks
Detection and Avoidance of Wormhole Attacks in Connected Vehicles. DIVANet@MSWiM (2017)
Sami S. Albouq, Erik M. Fredericks
Lightweight Detection and Isolation of Black Hole Attacks in Connected Vehicles. ICDCS Workshops (2017)
Sami S. Albouq, Erik M. Fredericks
Securing communication between service providers and road side units in a connected vehicle infrastructure. NCA (2017)
Erik M. Fredericks
Automatically hardening a self-adaptive system against uncertainty. SEAMS@ICSE (2016)
Erik M. Fredericks, Reihaneh H. Hariri
Extending search-based software testing techniques to big data applications. SBST@ICSE (2016)
Erik M. Fredericks, Betty H. C. Cheng
Automated Generation of Adaptive Test Plans for Self-Adaptive Systems. SEAMS@ICSE (2015)
Erik M. Fredericks, Betty H. C. Cheng
An Empirical Analysis of Providing Assurance for Self-Adaptive Systems at Different Levels of Abstraction in the Face of Uncertainty. SBST@ICSE (2015)
Erik M. Fredericks, Byron DeVries, Betty H. C. Cheng
Towards run-time adaptation of test cases for self-adaptive systems in the face of uncertainty. SEAMS (2014)
Erik M. Fredericks, Byron DeVries, Betty H. C. Cheng
AutoRELAX: automatically RELAXing a goal model to address uncertainty. Empir. Softw. Eng. 19 (5) (2014)
Erik M. Fredericks, Andres J. Ramirez, Betty H. C. Cheng
Towards run-time testing of dynamic adaptive systems. SEAMS (2013)
Erik M. Fredericks, Andres J. Ramirez, Betty H. C. Cheng
Validating Code-Level Behavior of Dynamic Adaptive Systems in the Face of Uncertainty. SSBSE (2013)
Erik M. Fredericks, Betty H. C. Cheng
Exploring automated software composition with genetic programming. GECCO (Companion) (2013)
Andres J. Ramirez, Erik M. Fredericks, Adam C. Jensen, Betty H. C. Cheng
Automatically RELAXing a Goal Model to Cope with Uncertainty. SSBSE (2012)