MoDRE 2022 : 12th International Workshop on Model-Driven Requirements Engineering
Call For Papers
The 12th International Model-Driven Requirements Engineering (MoDRE) workshop continues to provide a forum to discuss the challenges of Model-Driven Development (MDD) for Requirements Engineering (RE). Building on the interest of MDD for design and implementation, RE may benefit from MDD techniques when properly balancing flexibility for capturing varied user needs with formal rigidity required for model transformations as well as high-level abstraction with information richness. MoDRE seeks to explore those areas of RE that have not yet been formalized sufficiently to be incorporated into an MDD environment as well as how RE models can benefit from emerging topics in the model-driven community, such as flexible, collaborative, and AI-enabled modeling. We would like to explore how MoDRE can benefit from research methods and techniques used in other disciplines, such as sociology, as well as how MoDRE can help to ensure human values, ethics, sustainability, equality, and fairness in software systems. We look forward to identifying new challenges for MoDRE, discussing on-going work and potential solutions, analyzing the strengths and weaknesses of MDD approaches for RE, fostering stimulating discussions on the topic, and providing opportunities to apply MDD approaches for RE.
Abstract Submission : May 12th, 2022
Paper Submission : May 19th, 2022
Author Notification : June 17th, 2022
Camera Ready Due : July 7th, 2022
Workshop Date : August 15th or 16th, 2022
All deadlines are 23:59:59, Anywhere on Earth (AoE) Standard Time.
For more information, see the complete CFP at
or contact the organizers at modre2022-info at cs.mcgill.ca.
* 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.
* 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 human values and ethics.
* 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.
* Requirements models for sustainability, fairness, or equality.
* Requirements models for Green IT.
* 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.
SUBMISSION AND PROCEEDINGS PUBLICATION
Rijul Saini, PhD Candidate, McGill University, Canada
Ana Moreira, Associate Professor, Universidade Nova de Lisboa, Portugal
João Araújo, Associate Professor, Universidade Nova de Lisboa, Portugal
Pablo Sánchez, Assistant Professor, Universidad de Cantabria, Spain