Erik M. Fredericks

About

Erik M. Fredericks is a leading researcher in self-adaptive systems and search-based software engineering, with a focus on managing uncertainty and optimizing competing objectives in dynamic environments. His seminal work, "AutoRELAX: automatically RELAXing a goal model to address uncertainty" (2014, 34 citations), introduced a groundbreaking automated approach to relax system goals under uncertainty, enabling self-adaptive systems to maintain functionality when faced with unpredictable conditions. This contribution has become foundational for researchers tackling runtime adaptation challenges. Fredericks further advanced the field with "Providentia" (2019, 12 citations), which leverages search-based heuristics to balance functional and non-functional objectives—such as performance, cost, and reliability—in self-adaptive systems. His work bridges the gap between theoretical goal models and practical optimization, offering tools for engineers to design resilient software. Fredericks’ research is widely cited for its practical impact on autonomous systems, cyber-physical systems, and the Internet of Things, making him a key figure in the evolution of adaptive software engineering.

Research Focus

Key Achievements

Top Papers

1. 1
   AutoRELAX: automatically RELAXing a goal model to address uncertainty

   34 citations · 2014
2. 2
   Providentia: Using search-based heuristics to optimize satisficement and competing concerns between functional and non-functional objectives in self-adaptive systems

   12 citations · 2019

Key Collaborators

Contact & Links