Automatically RELAXing a Goal Model to Cope with Uncertainty. - Andres J. Ramirez; Erik M. Fredericks; Adam C. Jensen; Betty H. C. Cheng (SSBSE, 2012)

Exploring automated software composition with genetic programming. - Erik M. Fredericks; Betty H. C. Cheng (GECCO (Companion), 2013)

Towards run-time testing of dynamic adaptive systems. - Erik M. Fredericks; Andres J. Ramirez; Betty H. C. Cheng (SEAMS, 2013)

Validating Code-Level Behavior of Dynamic Adaptive Systems in the Face of Uncertainty. - Erik M. Fredericks; Andres J. Ramirez; Betty H. C. Cheng (SSBSE, 2013)

Towards run-time adaptation of test cases for self-adaptive systems in the face of uncertainty. - Erik M. Fredericks; Byron DeVries; Betty H. C. Cheng (SEAMS, 2014)

AutoRELAX: automatically RELAXing a goal model to address uncertainty. - Erik M. Fredericks; Byron DeVries; Betty H. C. Cheng (Empir. Softw. Eng., 2014)

An Empirical Analysis of Providing Assurance for Self-Adaptive Systems at Different Levels of Abstraction in the Face of Uncertainty. - Erik M. Fredericks; Betty H. C. Cheng (SBST@ICSE, 2015)

Automated Generation of Adaptive Test Plans for Self-Adaptive Systems. - Erik M. Fredericks; Betty H. C. Cheng (SEAMS@ICSE, 2015)

Automatically hardening a self-adaptive system against uncertainty. - Erik M. Fredericks (SEAMS@ICSE, 2016)

Extending search-based software testing techniques to big data applications. - Erik M. Fredericks; Reihaneh H. Hariri (SBST@ICSE, 2016)

Lightweight Detection and Isolation of Black Hole Attacks in Connected Vehicles. - Sami S. Albouq; Erik M. Fredericks (ICDCS Workshops, 2017)

Detection and Avoidance of Wormhole Attacks in Connected Vehicles. - Sami S. Albouq; Erik M. Fredericks (DIVANet@MSWiM, 2017)

Securing communication between service providers and road side units in a connected vehicle infrastructure. - Sami S. Albouq; Erik M. Fredericks (NCA, 2017)

Towards Traceability Link Recovery for Self-Adaptive Systems. - Reihaneh H. Hariri; Erik M. Fredericks (AAAI Workshops, 2018)

CAL: A Smart Home Environment for Monitoring Cognitive Decline. - Erik M. Fredericks; Kate M. Bowers; Katey A. Price; Reihaneh H. Hariri (ICDCS, 2018)

An empirical analysis of the mutation operator for run-time adaptive testing in self-adaptive systems. - Erik M. Fredericks (SBST@ICSE, 2018)

Automated Optimization of Weighted Non-functional Objectives in Self-adaptive Systems. - Kate M. Bowers; Erik M. Fredericks; Betty H. C. Cheng (SSBSE, 2018)

On incorporating search-based heuristics into real-world systems. - Erik M. Fredericks; Kate M. Bowers; Reihaneh H. Hariri (SBST@ICSE, 2019)

Planning as Optimization: Dynamically Discovering Optimal Configurations for Runtime Situations. - Erik M. Fredericks; Ilias Gerostathopoulos; Christian Krupitzer; Thomas Vogel 001 (SASO, 2019)

Uncertainty in big data analytics: survey, opportunities, and challenges. - Reihaneh H. Hariri; Erik M. Fredericks; Kate M. Bowers (J. Big Data, 2019)

Search@Home: A Commercial Off-the-Shelf Environment for Investigating Optimization Problems. - Erik M. Fredericks; Jared M. Moore (SSBSE, 2020)

Providentia: Using search-based heuristics to optimize satisficement and competing concerns between functional and non-functional objectives in self-adaptive systems. - Kate M. Bowers; Erik M. Fredericks; Reihaneh H. Hariri; Betty H. C. Cheng (J. Syst. Softw., 2020)

Genetic Improvement @ ICSE 2020. - William B. Langdon; Westley Weimer; Justyna Petke; Erik M. Fredericks; Seongmin Lee 001; Emily Winter 001; Michail Basios; Myra B. Cohen; Aymeric Blot; Markus Wagner 007; Bobby R. Bruce; Shin Yoo; et al. (ACM SIGSOFT Softw. Eng. Notes, 2020)

(Genetically) Improving Novelty in Procedural Story Generation. - Erik M. Fredericks; Byron DeVries (GI@ICSE, 2021)

Analysis and Monitoring of Cyber-Physical Systems via Environmental Domain Knowledge & Modeling. - Byron DeVries; Erik M. Fredericks; Betty H. C. Cheng (SEAMS@ICSE, 2021)

RDMSim: An Exemplar for Evaluation and Comparison of Decision-Making Techniques for Self-Adaptation. - Huma Samin; Luis Hernán García Paucar; Nelly Bencomo; Cesar M. Carranza Hurtado; Erik M. Fredericks (SEAMS@ICSE, 2021)

Towards Self-Adaptive Game Logic. - Erik M. Fredericks; Byron DeVries; Jared M. Moore (GAS@ICSE, 2022)

Towards Run-Time Search for Real-World Multi-Agent Systems. - Abigail C. Diller; Erik M. Fredericks (SBST@ICSE, 2022)

Generative Art via Grammatical Evolution. - Erik M. Fredericks; Abigail C. Diller; Jared M. Moore (GI, 2023)

Genetic Improvement @ ICSE 2023. - William B. Langdon; Vesna Nowack; Justyna Petke; Markus Wagner 007; Hyeonseok Lee; Erik M. Fredericks; Gabin An; Aymeric Blot (ACM SIGSOFT Softw. Eng. Notes, 2023)

Triggering Adaptation via Contextual Metamorphic Relations. - Byron DeVries; Erik M. Fredericks (QRS, 2024)

Towards a Metamorphic Testing Architecture for Software-Defined Drone Systems. - Erik M. Fredericks; Mallory Jacobs; Byron DeVries (SDS, 2024)

Crafting Generative Art through Genetic Improvement: Managing Creative Outputs in Diverse Fitness Landscapes. - Erik M. Fredericks; Denton Bobeldyk; Jared M. Moore (CoRR, 2024)

GenerativeGI: creating generative art with genetic improvement. - Erik M. Fredericks; Jared M. Moore; Abigail C. Diller (Autom. Softw. Eng., 2024)

The 13th International Workshop on Genetic Improvement(GI @ ICSE 2024). - William B. Langdon; Gabin An; Aymeric Blot; Vesna Nowack; Justyna Petke; Shin Yoo; Oliver Krauss; Erik M. Fredericks; Daniel Blackwell (ACM SIGSOFT Softw. Eng. Notes, 2024)

Incorporating Multiple Self-Adaptive Agents in Games. - Steven Streasick; Erik M. Fredericks; Byron DeVries; Ira Woodring (SIGSOFT FSE Companion, 2025)