SEAMS 2019
Sat 25 - Sun 26 May 2019 Montreal, QC, Canada
co-located with ICSE 2019
Sun 26 May 2019 16:50 - 17:05 at Duluth - Assurance Chair(s): Radu Calinescu

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.

Sun 26 May

Displayed time zone: Eastern Time (US & Canada) change

16:00 - 17:35
AssuranceSEAMS 2019 at Duluth
Chair(s): Radu Calinescu University of York, UK
16:00
25m
Talk
All Versus One: An Empirical Comparison on Retrained and Incremental Machine Learning for Modeling Performance of Adaptable SoftwareLong Paper
SEAMS 2019
Tao Chen Nottingham Trent University, UK and University of Birmingham, UK
16:25
25m
Talk
On the Practical Feasibility of Software Monitoring: a Framework for Low-impact Execution TracingLong Paper
SEAMS 2019
Jhonny Mertz Universidade Federal do Rio Grande do Sul, Ingrid Nunes Universidade Federal do Rio Grande do Sul (UFRGS), Brazil
16:50
15m
Talk
DARTSim: An Exemplar for Evaluation and Comparison of Self-Adaptation Approaches for Smart Cyber-Physical SystemsArtifactReusableBest Artifact Award
SEAMS 2019
Gabriel A. Moreno Carnegie Mellon University, USA, Cody Kinneer Carnegie Mellon University, Ashutosh Pandey Carnegie Mellon University, USA, David Garlan Carnegie Mellon University
Media Attached
17:05
15m
Talk
OCCI-compliant, fully causal-connected architecture runtime models supporting sensor managementArtifactFunctional
SEAMS 2019
Johannes Erbel , Thomas Brand , Holger Giese Hasso Plattner Institute, University of Potsdam, Jens Grabowski
17:20
15m
Talk
DingNet: A Self-Adaptive Internet-of-Things ExemplarArtifactFunctional
SEAMS 2019