https://conf.researchr.org/home/seams-2022
Co-located with ICSE 2022, https://conf.researchr.org/home/icse-2022
May 18-20: Virtual Technical Program
May 23: In-Person Program, Pittsburgh, PA, USA
Many of today's software-intensive systems need to continuously preserve and optimize their operation in the presence of uncertain changes in their operating environment, resource variability, evolving user needs, attacks, and faults. In addition to that, the complexity of these systems demands autonomy, self-management, and self-adaptation. SEAMS focuses on applying software engineering methods, techniques, processes, and tools to support the construction of safe, performant, and cost-effective self-adaptive and autonomous systems that provide self-* properties like self-configuration, self-healing, self-optimization, and self-protection.
SEAMS brings together researchers and practitioners from academia, industry, and government, to investigate, discuss, examine and advance the fundamental principles, the state of the art, and the solutions addressing critical challenges of engineering self-adaptive and self-managing systems.
SEAMS 2022 will have a virtual component, an in-person component, plus vibrant keynotes, a community discussion, and a doctoral track.
Author Registration Deadline: March 31, 2022
Early Bird Registration Deadline: April 1, 2022
Virtual Program: May 18-20, 2022
In-person Program: May 23, 2022
https://conf.researchr.org/attending/icse-2022/registration
We have two keynotes: the first one will be given by Phil Koopman (Carnegie Mellon University) and the second one by Federica Sarro (University College London). Details may be found at https://conf.researchr.org/info/seams-2022/keynotes.
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14 high-quality research papers
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Community debate on the topic of Digital Twins in Self-Adaptive Systems
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Doctoral track with 3 students presenting cutting edge research
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3 artifacts to foster community research and reuse
Working with colleagues from a local Pittsburgh company, the half-day in-person event on May 23 is going to be devoted to the definition of an industrial challenge, with direct industrial relevance, that can be addressed by researchers.
Here you can find the preliminary program for the in-person part of SEAMS in Pittsburgh:
Time | Event |
---|---|
09:00-09:30 | Welcome back and Intros |
09:30-10:00 | Industrial Case Study: Introduction |
10:00-10:30 | Industrial Case Study: Brainstorming |
10:30-11:00 | Coffee Break |
11:00-12:00 | Industrial Case Study: Brainstorming 2 |
12:00-12:30 | Industrial Case Study: Report out and Definition |
18:00-21:00 | SEAMS 2022 Dinner |
More details regarding SEAMS 2022 program can be found here: https://conf.researchr.org/track/seams-2022/seams-2022-papers#Preliminary-Program
With such an international audience, we want everyone to feel safe. A number of prospective participants have expressed concerns about attending in person. To encourage as many people to attend as possible, all in-person participants will be required to show proof of vaccination and to wear masks during the conference. During meals and receptions, especially those held outdoors, masking requirements will be relaxed appropriately.
https://conf.researchr.org/committee/seams-2022/seams-2022-papers-organizing-committee
- Bradley Schmerl, Carnegie Mellon University, USA
- Martina Maggio, Saarland University, Germany / Lund University, Sweden
- Javier Cámara, University of Málaga, Spain
- Patrizio Pelliccione, Gran Sasso Science Institute, L'Aquila, Italy
- Nicolás D’Ippolito, University of Buenos Aires, Argentina
- Gabriel A. Moreno, Carnegie Mellon University, USA
- Alessandro Vittorio Papadopoulos, Mälardalen University, Sweden
- Hausi Müller, University of Victoria, Canada
- Shiva Nejati, University of Ottawa, Canada
- David Garlan, Carnegie Mellon University, United States
- Ilias Gerostathopoulos, Vrije Universiteit Amsterdam, Netherlands
- Nicolás Cardozo, Universidad de los Andes, Colombia
- Rebekka Wohlrab, Carnegie Mellon University, United States
- Claudio Mandrioli, Lund University, Sweden
- Ivana Dusparic, Trinity College Dublin, Ireland
- Lukas Esterle, Aarhus University, Denmark
- Mohan Baruwal Chhetri, CSIRO's Data61, Australia
- Pooyan Jamshidi, University of South Carolina, USA