@InProceedings{2019:SEAMS:DartSim,
      AUTHOR = {Moreno, Gabriel A. and Kinneer, Cody and Pandey, Ashutosh and Garlan, David},
      TITLE = {DARTSim: An Exemplar for Evaluation and Comparison of Self-Adaptation Approaches for Smart Cyber-Physical Systems},
      YEAR = {2019},
      MONTH = {25-26 May},
      BOOKTITLE = {Proceedings of the 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems},
      ADDRESS = {Montreal, Canada},
      ABSTRACT = {Motivated by the need for cyber-physical systems (CPS) to perform in dynamic and uncertain environments, smart CPS (sCPS) utilize self-adaptive capabilities to autonomously manage uncertainties at the intersection of the cyber and physical worlds. In this context, self-adaptation approaches face particular challenges, including (i) environment monitoring that is subject to sensing errors; (ii) adaptation actions that take time, sometimes due to physical movement; (iii) dire consequences for not adapting in a timely manner; and (iv) incomparable objectives that cannot be conflated into a single utility metric (e.g., avoiding an accident vs. providing good service). To enable researchers to evaluate and compare self-adaptation approaches aiming to address these unique challenges of sCPS, we introduce the DARTSim exemplar. DARTSim implements a high-level simulation of a team of unmanned air vehicles (UAVs) performing a reconnaissance mission in a hostile and unknown environment. Designed to be easily used by researchers, DARTSim provides a TCP-based interface for easy integration with external adaptation managers, documentation, and a fast simulation capability.},
      NOTE = {Awarded Best Artifact Award for SEAMS 2019},
      KEYWORDS = {Self-adaptation}
}