In line with the research theme of this year’s RE conference, the workshop topics include efforts to innovate RE through model-based techniques. However, submissions are also welcome in all workshop topics such as:

Modeling languages and metamodels for requirements engineering approaches
Modeling languages and metamodels for supporting separation of concerns in requirements models
Modeling languages and metamodels for non-functional requirements
Modeling languages and metamodels for requirements engineering for specific domains, such as cyber-physical systems and IoT, Big Data, AI applications, and Industry 4.0
Model-driven regulatory compliance of cyber-physical systems
Model-driven representation, detection, and mitigation of assurance deficits in assurance case models
Synchronicity and consistency of different requirements models and views
Requirements models for machine learning and deep learning solutions
Requirements models at runtime
Requirements models for agile practices and DevOps
Requirements models for human values, ethics, fairness, equality, sustainability, and GreenIT
Automatic analysis and simulation of requirements models
Traceability and correctness of model transformations involving requirements models
AI approaches for model transformations involving requirements models
Flexible and collaborative modeling in requirements engineering
Empirical studies on model-driven requirements engineering
Automatic generation of tools for RE using MDD
Research methods from other disciplines, such as sociology, for eliciting requirements models
Requirements engineering approaches for low-code/no-code software development

Moreover, industry papers covering topics such as the following are highly welcome:

Industry problems and practices
Success stories about adopting model-driven requirements engineering in industry
Industrial empirical studies