Organization of DSPLs:

• Development approaches and organizational models to set a DSPL
• Comparison between conventional SPL, and DSPL and adaptive system models
• New activities required by a DSPL
• Upfront cost and post-deployment activities

Dynamic variability management

• Managing runtime variants and variation points
• Runtime managers supporting variability
• Optimization of runtime variability solutions
• Variability constraints and dependencies managed at runtime
• Dynamic and multiple binding times
• Rebinding and reconfiguration after deployment
• Context variability analysis and design
• Integration of pre- and runtime variability

DSPL and software engineering:

• DSPL runtime requirements and architecture
• Dynamic component models and libraries
• Models@runtime supporting variability
• Trade-off analysis between adaptability and quality properties
• Tools supporting any aspect related to DSPL and dynamic variability
• DSPL as a dynamic Ecosystem

DSPL application domains:

• Role of dynamic variability in specific application domains (e.g., Automotive and smart vehicles, Critical systems, Drones, Cloud systems, Robotics)
• Self-adaptive systems using dynamic variability techniques (e.g., WSN)
• Context variability for IoT software