SEAMS 2018
Date: May 28, 2018 12:00 am – May 29, 2018 11:00 am
Location: Gothenburg, Sweden
The 13th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)
SEAMS 2018 is co-located with the 40th International Conference on Software Engineering (ICSE 2018)
Follow SEAMS2018
- Facebook: https://www.facebook.com/SEAMSconf
- Twitter: https://twitter.com/seams2018
Modern and emerging software systems, such as industrial Internet of Things, Cyber-Physical Systems, cloud and mobile computing, have to operate without interruption. Self-adaptation and self-management enable these systems to adapt themselves at runtime to preserve and optimize their operation in the presence of uncertain changes in their operating environment, resource variability, new user needs, attacks, intrusions, and faults.
Approaches to complement software-based systems with self-managing and self-adaptive capabilities are an important area of research and development, offering solutions that leverage advances in fields such as software architecture, fault-tolerant computing, programming languages, robotics, run-time program analysis and verification, among others. Additionally, research in this field is informed by related areas such as control systems, machine learning, artificial intelligence, agent-based systems, and biologically inspired computing. The SEAMS symposium focuses on applying software engineering to these approaches, including methods, techniques, processes and tools that can be used to support self-* properties like self-protection, self-healing, self-optimization, and self-configuration.
The objective of SEAMS is to bring together researchers and practitioners from diverse areas to investigate, discuss, and examine the fundamental principles, the state of the art, and critical challenges of engineering self-adaptive and self-managing systems.
Topics of Interest:
All topics related to engineering self-adaptive and self-managing systems, including:
Foundational Concepts
- Understanding and taming uncertainty
- Runtime models and variability
- Online analysis and planning
- Consistent change of systems in operation
- Mixed-initiative and human-in-the-loop systems
Adaptation Objectives
- Self-* properties
- Automatic configuration, openness
- Adaptive security and privacy (SEAMS’18 will devote a special session on this topic)
Engineering Strategies
- Architecture and model-driven approaches
- Control theory
- Automatic synthesis techniques
- Search-based techniques and learning
Engineering Activities
- Requirements elicitation techniques
- Architecture and design techniques
- Systematic reuse (e.g., patterns, viewpoints, reference architectures, code)
- Instrumentation of legacy systems (probing and effecting)
- Processes and methodologies
- Adaptation in the context of DevOps
- Real-world demonstrators
- Controlled experiments, case studies, replication studies, surveys
Analytical Methods
- Runtime decision-making (multi-objective, multi-layered, distributed)
- Analysis and testing frameworks
- Verification and validation
- Simulation
Languages
- Formal notations for modeling and analyzing self-* properties
- Domain-specific language support for self-adaptation
- Programming language support for self-adaptation
Application Areas
- Industrial internet of things
- Cyber-physical systems
- Cloud and edge computing
- Robotics
- Smart environments
- Smart user interfaces
Artifacts
- Model problems and exemplars
- Resources including data sets, metrics, and software useful to compare self-adaptive approaches
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The 13th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)
SEAMS 2018 is co-located with the 40th International Conference on Software Engineering (ICSE 2018)
Follow SEAMS2018
- Facebook: https://www.facebook.com/SEAMSconf
- Twitter: https://twitter.com/seams2018
Modern and emerging software systems, such as industrial Internet of Things, Cyber-Physical Systems, cloud and mobile computing, have to operate without interruption. Self-adaptation and self-management enable these systems to adapt themselves at runtime to preserve and optimize their operation in the presence of uncertain changes in their operating environment, resource variability, new user needs, attacks, intrusions, and faults.
Approaches to complement software-based systems with self-managing and self-adaptive capabilities are an important area of research and development, offering solutions that leverage advances in fields such as software architecture, fault-tolerant computing, programming languages, robotics, run-time program analysis and verification, among others. Additionally, research in this field is informed by related areas such as control systems, machine learning, artificial intelligence, agent-based systems, and biologically inspired computing. The SEAMS symposium focuses on applying software engineering to these approaches, including methods, techniques, processes and tools that can be used to support self-* properties like self-protection, self-healing, self-optimization, and self-configuration.
The objective of SEAMS is to bring together researchers and practitioners from diverse areas to investigate, discuss, and examine the fundamental principles, the state of the art, and critical challenges of engineering self-adaptive and self-managing systems.
Topics of Interest:
All topics related to engineering self-adaptive and self-managing systems, including:
Foundational Concepts
- Understanding and taming uncertainty
- Runtime models and variability
- Online analysis and planning
- Consistent change of systems in operation
- Mixed-initiative and human-in-the-loop systems
Adaptation Objectives
- Self-* properties
- Automatic configuration, openness
- Adaptive security and privacy (SEAMS’18 will devote a special session on this topic)
Engineering Strategies
- Architecture and model-driven approaches
- Control theory
- Automatic synthesis techniques
- Search-based techniques and learning
Engineering Activities
- Requirements elicitation techniques
- Architecture and design techniques
- Systematic reuse (e.g., patterns, viewpoints, reference architectures, code)
- Instrumentation of legacy systems (probing and effecting)
- Processes and methodologies
- Adaptation in the context of DevOps
- Real-world demonstrators
- Controlled experiments, case studies, replication studies, surveys
Analytical Methods
- Runtime decision-making (multi-objective, multi-layered, distributed)
- Analysis and testing frameworks
- Verification and validation
- Simulation
Languages
- Formal notations for modeling and analyzing self-* properties
- Domain-specific language support for self-adaptation
- Programming language support for self-adaptation
Application Areas
- Industrial internet of things
- Cyber-physical systems
- Cloud and edge computing
- Robotics
- Smart environments
- Smart user interfaces
Artifacts
- Model problems and exemplars
- Resources including data sets, metrics, and software useful to compare self-adaptive approaches