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

If you are not sure whether your high-quality research fits into the conference topics, don’t hesitate to contact the general chairs or program chairs.