SEAMS 2019
Sat 25 - Sun 26 May 2019 Montreal, QC, Canada
co-located with ICSE 2019
Sun 26 May 2019 17:20 - 17:35 at Duluth - Assurance Chair(s): Radu Calinescu

Recent efforts have shown that research on self-adaptive systems can benefit from exemplar to evaluate and compare new methods, techniques and tools. One highly relevant application domain for self-adaptation is the Internet-of-Things (IoT). While some initial exemplars have been proposed for IoT, these applications are small in scale and hence limited to support research on larger IoT deployments, such as typically required in smart cities. To address this limitation, we introduce the DingNet exemplar, a reference implementation for research on self-adaptation in the domain of IoT. DingNet offers a simulator that maps directly to a physical IoT system that is deployed in the area of Leuven, Belgium. DingNet models a set of geographically distributed gateways that are connected to a user application deployed at a front-end server. The gateways can interact over a LoRaWAN network with local, possibly mobile motes that can be equipped with sensors and actuators. The exemplar comes with a set of scenarios for comparing the effectiveness of different self-adaptive solutions. We illustrate how the exemplar is used for a typical adaptation problem of IoT where mobile motes dynamically adapt their communication settings to ensure reliable and energy efficient communication.

Sun 26 May
Times are displayed in time zone: Eastern Time (US & Canada) change

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