SEAMS 2019
Date: May 25, 2019 6:00 am – May 26, 2019 5:00 pm
Location: Montreal, Canada
14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2019)
colocated with ICSE 2019
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.
Modern and emerging software systems, such as industrial Internet of Things, Cyber-Physical Systems, cloud and edge computing, robotics, and smart environments 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, 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.
Topics of Interest:
All topics related to engineering self-adaptive and self-managing systems, including:
Foundational Concepts
- Self-* properties
- Understanding and taming uncertainty
- Runtime models and variability
- Consistent change of systems in operation
- Mixed-initiative and human-in-the-loop systems
- Situational awareness
Engineering Strategies
- Architecture and model-driven approaches
- Control theory
- Online analysis and planning
- Automatic synthesis techniques
- AI techniques (e.g. machine learning, game theory, …)
- Search-based techniques and learning
Engineering Activities
- Domain/environment analysis techniques
- 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
- DevOps
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
- Autonomous vehicles
- Cyber-physical systems
- Cloud and edge computing
- Robotics
- Smart environments
- Smart user interfaces
- Security and privacy
- Artifacts & Evaluation
Model problems and exemplars
- Resources including data sets, metrics, and software useful to compare self-adaptive approaches
- Real-world demonstrators
- Controlled experiments, case studies, replication studies, surveys
Submitted by Anonymous
on
14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2019)
colocated with ICSE 2019
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.
Modern and emerging software systems, such as industrial Internet of Things, Cyber-Physical Systems, cloud and edge computing, robotics, and smart environments 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, 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.
Topics of Interest:
All topics related to engineering self-adaptive and self-managing systems, including:
Foundational Concepts
- Self-* properties
- Understanding and taming uncertainty
- Runtime models and variability
- Consistent change of systems in operation
- Mixed-initiative and human-in-the-loop systems
- Situational awareness
Engineering Strategies
- Architecture and model-driven approaches
- Control theory
- Online analysis and planning
- Automatic synthesis techniques
- AI techniques (e.g. machine learning, game theory, …)
- Search-based techniques and learning
Engineering Activities
- Domain/environment analysis techniques
- 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
- DevOps
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
- Autonomous vehicles
- Cyber-physical systems
- Cloud and edge computing
- Robotics
- Smart environments
- Smart user interfaces
- Security and privacy
- Artifacts & Evaluation
Model problems and exemplars
- Resources including data sets, metrics, and software useful to compare self-adaptive approaches
- Real-world demonstrators
- Controlled experiments, case studies, replication studies, surveys