- Platooning LEGOs: An Open Physical Exemplar for Engineering Self-Adaptive Cyber-Physical Systems-of-Systems
- Body Sensor Network: A Self-Adaptive System Exemplar in the Healthcare Domain
- RoboMAX: Robotic Mission Adaptation eXemplars
- RDMSim: An Exemplar for Evaluation and Comparison of Decision-Making Techniques for Self-Adaptation
All of these artifacts are available in the SEAMS community at Zenodo.org.
The exemplar section of self-adaptive.org has been updated with the artifacts from SEAMS 2019. At SEAMS 2020 no artifacts have been published.
The seven artifacts that have been accepted at the 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2017) are now listed in the exemplars section. The section currently lists 13 artifacts to leverage research on self-adaptive software systems.
The SEAMS 2017 artifacts are:
- Hadoop-Benchmark: Rapid Prototyping and Evaluation of Self-Adaptive Behaviors in Hadoop Clusters
- Self-Adaptive Video Encoder: Comparison of Multiple Adaptation Strategies Made Simple
- UNDERSEA: An Exemplar for Engineering Self-Adaptive Unmanned Underwater Vehicles
- DeltaIoT: A Real World Exemplar for Self-Adaptive Internet of Things
- Model Problem (CrowdNav) and Framework (RTX) for Self-Adaptation Based on Big Data Analytics
- Intelligent Ensembles – a Declarative Group Description Language and Java Framework
- Lotus@Runtime: A Tool for Runtime Monitoring and Verification of Self-adaptive Systems
Self-adaptive.org has now a channel on Twitter to inform you about news related to this website and generally to software engineering for self-adaptive systems.
I am looking for contributors to this Twitter channel. If you are interested, please drop me a message (@tomvog).
The site "Software Engineering for Self-Adaptive Systems" has been relaunched. It provides information about the International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), Dagstuhl Seminars on Software Engineering for Self-Adaptive Systems, exemplars and model problems for self-adaptive systems, and the SEAMS mailing list.