Best Paper Nominees

Building Reusable Repertoires for Stochastic Self-* Planners
Cody Kinneer, Rijnard van Tonder, David Garlan and Claire Le Goues

Reconfigurable Embedded Devices Using Reinforcement Learning to Develop Action-Policies
Alwyn Burger, David King and Gregor Schiele

Understanding Uncertainty in Self-adaptive Systems
Radu Calinescu, Raffaela Mirandola, Diego Perez-Palacin and Danny Weyns

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Full Papers

ENSURE: Efficient Scheduling and Autonomous Resource Management in Serverless Environments
Amoghavarsha Suresh, Gagan Somashekar, Anandh Varadarajan, Veerendra Ramesh Kakarla, Hima Upadhyay and Anshul Gandhi

Reasoning about When to Provide Explanation for Human-involved Self-Adaptive Systems
Nianyu Li, Javier Cámara, David Garlan and Bradley Schmerl

PRESTO: a latency-aware power-capping orchestrator for cloud-native microservices
Rolando Brondolin and Marco Domenico Santambrogio

DeCrypto Pro: Deep Learning Based Cryptomining Malware Detection Using Performance Counters
Ganapathy Mani, Vikram Pasumarti, Bharat Bhargava, Faisal Tariq Vora, James MacDonald, Justin King and Jason Kobes

Learning Distributed Controllers for V-Formation
Shouvik Roy, Usama Mehmood, Radu Grosu, Scott Smolka, Scott Stoller and Ashish Tiwari

Hybrid Planning Using Learning and Model Checking for Autonomous Systems
Ashutosh Pandey, Ivan Ruchkin, Bradley Schmerl and David Garlan

REACT: A Model-Based Runtime Environment for Adapting Communication Systems
Martin Pfannemüller, Martin Breitbach, Christian Krupitzer, Markus Weckesser, Christian Becker, Bradley Schmerl and Andy Schürr

Coevolutionary Learning of Neuromodulated Controllers for Multi-Stage and Gamified Tasks
Chloe M. Barnes, Anikó Ekárt, Kai Olav Ellefsen, Kyrre Glette, Peter R. Lewis and Jim Tørresen

Case Study of an Automated Approach to Managing Collections of Autonomic Systems
Thomas Glazier, David Garlan and Bradley Schmerl

Hierarchical Scaling of Microservices in Kubernetes
Fabiana Rossi, Valeria Cardellini and Francesco Lo Presti

A Survey of Methodology in Self-Adaptive Systems Research
Barry Porter, Roberto Vito Rodrigues Filho and Paul Dean

A self-configuring and adaptive privacy-aware permission system for Android apps
Gian Luca Scoccia, Marco Autili and Paola Inverardi

Deadlock Avoidance for Multiple Tasks in a Self-Organizing Production Cell
Joseph Hirsch, Martin Neumayer, Hella Ponsar, Oliver Kosak and Wolfgang Reif

Adaptive Trust-Aware Decentralized Information Flow Control
Charilaos Skandylas, Narges Khakpour and Jesper Andersson

Collective Learning: A 10-Year Odyssey to Human-centered Distributed Intelligence
Evangelos Pournaras

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Short Papers

Self-Patch: Beyond Patch Tuesday for Containerized Applications
Olufogorehan Tunde-Onadele, Yuhang Lin, Jingzhu He and Xiaohui Gu

Design-Time Validation of Runtime Reconfiguration Strategies: An Environmental-Driven Approach
Max Scheerer, Martina Rapp and Ralf Reussner

Taming Resource Heterogeneity In Distributed ML Training With Dynamic Batching
Sahil Tyagi and Prateek Sharma

FCPP: an efficient and extensible field calculus framework
Giorgio Audrito

A Distributed Population Management Approach for Mobile Agent Systems
Bryan Prosser and Errin Fulp

How far should I watch? Quantifying the effect of various observational capabilities on long-range situational awareness in multi-robot teams
Sehyeok Kang, Taeyeong Choi and Theodore Pavlic

Assessing Adaptations based on Change Impacts
Sharmin Jahan, Ian Riley and Rose Gamble

MERIT: Model-driven Rehoming for VNF Chains
Muhammad Wajahat, Bharath Balasubramanian, Anshul Gandhi, Gueyoung Jung and Shankaranarayanan Puzhavakath Narayanan

Evaluating the Effect of User-Given Guiding Attention on the Learning Process
Richard Nordsieck, Michael Heider, Andreas Angerer and Jörg Hähner

Automating GUI Testing with Image-Based Deep Reinforcement Learning
Juha Eskonen, Julen Kahles and Joel Reijonen