The papers recognized are:

2010: Betty Cheng and Andres Ramirez. Design Patterns for Developing Dynamically Adaptive Systems. DOI

2011: Norha M. Villegas, Hausi A. Müller, Gabriel Tamura, Laurence Duchien, Rubby Casallas. A Framework for Evaluating Quality-Driven Self-Adaptive Software Systems. DOI

Best Paper Award: NEPTUNE: Network- and GPU-aware Management of Serverless Functions at the Edge Luciano Baresi, Davide Yi Xian Hu, Giovanni Quattrocchi, Luca Terracciano

Best Student Paper: Lifelong Self-Adaptation: Self-Adaptation Meets Lifelong Machine Learning Omid Gheibi Katholieke, Danny Weyns

The second keynote speaker for SEAMS 2022 has changed. The new speaker is Ivana Dusparic, who will be talking about _ Reinforcement Learning for Self-Adaptation in Large-Scale Heterogeneous Dynamic Environments_

(update: now fixed, see the Track schedule)

There are some schedule inconsistencies between the current program and the Midspace program (Midspace is most up to date). While we fix those, we attach the accurate schedule here (times Eastern Daylight, UTC-4).

for both the virtual and in-person events. Check it out in the dedicated page.

Check them out here

We’ve nearly finalized the dates for TechDebt. We will hold the majority of the program virtually, shorter sessions over two days, May 17-18. We will plan on informal social events and short discussions in person, May 24.

SEAMS 2022 will host a community debate on the topic of digital twins for Self-Adaptive systems. Join the discussion by submitting either a two pages paper or a five minutes video. More info can be found on the research papers submission page.

Considering the current evolving situation around the COVID-19 pandemic, and to provide some certainty to potential SEAMS participants, we have decided to make SEAMS 2022 a virtual-first (remote) event. This will follow vibrant SEAMS symposia in 2020 and 2021. For those who wish to attend in person, we plan to have some in-person events that we will announce at a later date.

http://portal.core.edu.au/core/media/justification/CORE2021/4612SEAMS.pdf