Topics of Interest

Track 1: Advanced Models for Service Engineering

●       Microservices
●       Serverless Computing
●       DevOps and service engineering
●       Model-driven development of service-oriented systems
●       End-user development and mashup of software services
●       Lifecycle models, reusability, and scalability for services
●       Coordination and cooperation of services
●       Efficient scheduling of services
●       Services infrastructure for big data
●       Service ecosystem models and analytics

Track 2: Computing Environments and Virtualization

●       Container-based virtualization
●       Programming models, languages, tools and platforms
●       Architecture of Internet-based virtual computing environments
●       Large scale computing and analytics
●       Architectural and detailed designs of services and code generation of service software
●       Cloud-based services
●       Quantum-based services & services for quantum applications

Track 3: Methods, Languages & Tools for Service-Based Systems

●       APIs for service-based systems
●       Transboundary service innovation models
●       Business process integration, alignment & management in SOAs
●       Methods, languages & tools for building SOC systems
●       Metrics and measurement of services, QoS, and QoE
●       Runtime verification, validation, and monitoring
●       Service Engineering for Systems with AI components
●       Dynamic service delivery and evolution
●       Service customization and personalization
●       Service mobility, scalability, elasticity, and security
●       Operation and governance for large-scale service-oriented systems
●       Adaptation, control, and optimization of service-oriented systems
●       Modernization, migration, and servitization of legacy systems
●       Service-oriented system engineering for large-scale analytics
●       Service-oriented engineering and clouds
●       DevOps environments for service-based systems
●       Construction, deployment, operation, and maintenance of service-oriented systems

Track 4: Service-based Cyber-Physical Systems (CPS)

●       Edge computing, fog computing, mobility computing, and Cloud-IoT continuum
●       Paradigms, concepts, and services for Osmotic Computing and Liquid Software
●       Software and system engineering for CPS
●       APIs and services for CPS
●       Mobile services for CPS
●       System modelling and simulation
●       Data management for CPS
●       Dependable network and system architectures for CPS

Track 5: Intelligent Services for a Smart World

●       Smart home, smart office, smart city, smart industry
●       Intelligent services architectures and provisioning models
●       Smart systems programming models and methodologies
●       Swarm intelligence
●       Context-aware services
●       Nature-inspired intelligent services
●       Knowledge representation and reasoning
●       Quality of data (QoD)
●       Intelligent conversional bots
●       Deep learning & services

Track 6: Security Engineering for Service Systems

●       Security, dependability, and reliability
●       Trust, reputation, and incentive mechanisms
●       Blockchain-enabled mechanisms and infrastructure
●       Enterprise business architecture and solution frameworks
●       Case studies, experiments, and evaluation of service-oriented system
●       Testing, verification, validation and QA in the development of service-oriented systems
●       Measurements and metrics of QoS in SOA-based application systems
●       Governance and policies in service-oriented software development
●       Post-quantum security for service-based systems

Track 7: Practical Experiences

●       Innovative service applications and experiences
●       Service-oriented systems for next-gen applications, e.g., Industry 4.0
●       Methodology and engineering principles of service-oriented systems
●       Engineering techniques and tools to support the publishing, discovery and composition of services