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Erik M. Fredericks
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2020 – today
- 2024
- [j7]Erik M. Fredericks, Jared M. Moore, Abigail C. Diller:
GenerativeGI: creating generative art with genetic improvement. Autom. Softw. Eng. 31(1): 23 (2024) - [j6]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): 42-50 (2024) - [e2]Paolo Arcaini
, Tao Yue
, Erik M. Fredericks
:
Search-Based Software Engineering - 15th International Symposium, SSBSE 2023, San Francisco, CA, USA, December 8, 2023, Proceedings. Lecture Notes in Computer Science 14415, Springer 2024, ISBN 978-3-031-48795-8 [contents] - 2023
- [j5]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): 51-59 (2023) - [c25]Erik M. Fredericks, Abigail C. Diller, Jared M. Moore:
Generative Art via Grammatical Evolution. GI 2023: 1-8 - 2022
- [c24]Erik M. Fredericks, Byron DeVries, Jared M. Moore:
Towards Self-Adaptive Game Logic. GAS@ICSE 2022: 24-29 - [c23]Abigail C. Diller, Erik M. Fredericks:
Towards Run-Time Search for Real-World Multi-Agent Systems. SBST@ICSE 2022: 14-15 - [i7]Erik M. Fredericks, Byron DeVries, Jared M. Moore:
Towards Self-Adaptive Game Logic. CoRR abs/2205.05498 (2022) - [i6]Abigail C. Diller, Erik M. Fredericks:
Towards Run-Time Search for Real-World Multi-Agent Systems. CoRR abs/2205.05502 (2022) - 2021
- [c22]Erik M. Fredericks, Byron DeVries:
(Genetically) Improving Novelty in Procedural Story Generation. GI@ICSE 2021: 39-40 - [c21]Byron DeVries, Erik M. Fredericks, Betty H. C. Cheng:
Analysis and Monitoring of Cyber-Physical Systems via Environmental Domain Knowledge & Modeling. SEAMS@ICSE 2021: 11-17 - [c20]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: 238-244 - [i5]Erik M. Fredericks, Byron DeVries:
(Genetically) Improving Novelty in Procedural Story Generation. CoRR abs/2103.06935 (2021) - [i4]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 abs/2105.01978 (2021) - 2020
- [j4]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) - [j3]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): 24-30 (2020) - [c19]Erik M. Fredericks, Jared M. Moore:
Search@Home: A Commercial Off-the-Shelf Environment for Investigating Optimization Problems. SSBSE 2020: 171-177 - [i3]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 abs/2007.15987 (2020) - [i2]Erik M. Fredericks, Jared M. Moore:
Search@Home: A Commercial Off-the-Shelf Environment for Investigating Optimization Problems. CoRR abs/2008.02132 (2020)
2010 – 2019
- 2019
- [j2]Reihaneh H. Hariri
, Erik M. Fredericks, Kate M. Bowers:
Uncertainty in big data analytics: survey, opportunities, and challenges. J. Big Data 6: 44 (2019) - [c18]Erik M. Fredericks, Kate M. Bowers, Reihaneh H. Hariri:
On incorporating search-based heuristics into real-world systems. SBST@ICSE 2019: 11-12 - [c17]Erik M. Fredericks, Ilias Gerostathopoulos
, Christian Krupitzer
, Thomas Vogel
:
Planning as Optimization: Dynamically Discovering Optimal Configurations for Runtime Situations. SASO 2019: 1-10 - [i1]Erik M. Fredericks, Ilias Gerostathopoulos, Christian Krupitzer, Thomas Vogel:
Planning as Optimization: Dynamically Discovering Optimal Configurations for Runtime Situations. CoRR abs/1905.01071 (2019) - 2018
- [c16]Reihaneh H. Hariri, Erik M. Fredericks:
Towards Traceability Link Recovery for Self-Adaptive Systems. AAAI Workshops 2018: 762-766 - [c15]Erik M. Fredericks, Kate M. Bowers, Katey A. Price, Reihaneh H. Hariri:
CAL: A Smart Home Environment for Monitoring Cognitive Decline. ICDCS 2018: 1500-1506 - [c14]Erik M. Fredericks:
An empirical analysis of the mutation operator for run-time adaptive testing in self-adaptive systems. SBST@ICSE 2018: 59-66 - [c13]Kate M. Bowers, Erik M. Fredericks, Betty H. C. Cheng
:
Automated Optimization of Weighted Non-functional Objectives in Self-adaptive Systems. SSBSE 2018: 182-197 - [e1]Yijun Yu, Erik M. Fredericks, Premkumar T. Devanbu:
Proceedings of the 4th ACM SIGSOFT International Workshop on NLP for Software Engineering, NL4SE@ESEC/SIGSOFT FSE 2018, Lake Buena Vista, FL, USA, November 4, 2018. ACM 2018, ISBN 978-1-4503-6055-5 [contents] - 2017
- [c12]Sami S. Albouq, Erik M. Fredericks:
Lightweight Detection and Isolation of Black Hole Attacks in Connected Vehicles. ICDCS Workshops 2017: 97-104 - [c11]Sami S. Albouq, Erik M. Fredericks:
Detection and Avoidance of Wormhole Attacks in Connected Vehicles. DIVANet@MSWiM 2017: 107-116 - [c10]Sami S. Albouq, Erik M. Fredericks:
Securing communication between service providers and road side units in a connected vehicle infrastructure. NCA 2017: 359-363 - 2016
- [c9]Erik M. Fredericks:
Automatically hardening a self-adaptive system against uncertainty. SEAMS@ICSE 2016: 16-27 - [c8]Erik M. Fredericks, Reihaneh H. Hariri:
Extending search-based software testing techniques to big data applications. SBST@ICSE 2016: 41-42 - 2015
- [c7]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: 8-14 - [c6]Erik M. Fredericks, Betty H. C. Cheng
:
Automated Generation of Adaptive Test Plans for Self-Adaptive Systems. SEAMS@ICSE 2015: 157-167 - 2014
- [j1]Erik M. Fredericks, Byron DeVries, Betty H. C. Cheng
:
AutoRELAX: automatically RELAXing a goal model to address uncertainty. Empir. Softw. Eng. 19(5): 1466-1501 (2014) - [c5]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: 17-26 - 2013
- [c4]Erik M. Fredericks, Betty H. C. Cheng
:
Exploring automated software composition with genetic programming. GECCO (Companion) 2013: 1733-1734 - [c3]Erik M. Fredericks, Andres J. Ramirez, Betty H. C. Cheng
:
Towards run-time testing of dynamic adaptive systems. SEAMS 2013: 169-174 - [c2]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: 81-95 - 2012
- [c1]Andres J. Ramirez, Erik M. Fredericks, Adam C. Jensen, Betty H. C. Cheng
:
Automatically RELAXing a Goal Model to Cope with Uncertainty. SSBSE 2012: 198-212
Coauthor Index
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last updated on 2024-08-16 19:27 CEST by the dblp team
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