Submissions

Future-ready products emerge where technological developments, market shifts, and societal expectations are translated into requirements at an early stage. This track seeks contributions on how Requirements Engineering helps identify trends, assess future scenarios, and derive sound product decisions.

• How do products come to life that remain relevant in the future?
• How can requirements help develop and implement long-term product visions?
• How can trends such as AI, sustainability, or platform economics be addressed early in RE?
• How can Requirements Engineering help navigate uncertainty, market disruption, and disruptive innovation?
• How do future-viable business models emerge from requirements?
• How can societal and environmental impacts be considered as early as the requirements phase?
   

Change has long been the norm in engineering. This track focuses on approaches for continuously evolving, prioritizing, and validating requirements — whether in agile, scaled, or heavily regulated environments. We seek contributions on flexibility, feedback loops, decision-making, and managing uncertainty.

• How is RE changing in a world of constant change?
• What methods help continuously adapt and validate requirements?
• How do you manage uncertain, emergent, or incomplete requirements?
• How can hypotheses, experiments, and feedback loops be systematically integrated into RE?
• How do you balance architectural stability with flexibility in requirements?
• What role do data and real-time feedback play in adaptive requirements?
  

AI-powered approaches open up new possibilities for managing complexity, extracting knowledge from data, and making requirements processes more effective. This track seeks contributions on the applications, opportunities, and limitations of AI in Requirements Engineering — from analysis and quality assurance to assistance systems, automation, and responsible use.

• How is Artificial Intelligence fundamentally transforming Requirements Engineering?
• How can requirements for AI systems be specified, validated, and monitored?
• What opportunities do data-driven approaches offer for eliciting and prioritizing requirements?
• How can generative AI be meaningfully applied in RE?
• What ethical, regulatory, and societal requirements arise from AI systems?
• How can transparency and traceability be ensured in data-driven decisions?

Today’s decisions shape tomorrow’s systems. This track asks how ecological, social, ethical, and economic sustainability goals can be systematically addressed in Requirements Engineering. We welcome contributions on sustainability requirements, conflicting objectives, evaluation models, regulatory drivers, and practical experience.

• How can sustainability be systematically integrated into requirements and systems?
• What methods help make ecological and social impacts measurable?
• How can sustainable decisions be supported early in the development process?
• What conflicts arise between economic viability, innovation, and sustainability?
• How can regulatory requirements and ESG criteria be effectively incorporated?
• What role does RE play in developing resilient and long-lasting systems?

Successful systems require a robust connection between vision, requirements, and architecture. This track seeks contributions on how goals, stakeholder needs, and system requirements can be structured to yield sound architectural decisions. Topics of particular interest include traceability, modelling, systems thinking, and collaboration between Requirements Engineering and architecture.

• How are visions translated into concrete, actionable requirements?
• What role does RE play in translating strategy into architectural decisions?
• How can Requirements Engineering and MBSE be successfully integrated?
• How does RE support the development of complex, interconnected systems and system landscapes?
• How can target visions, roadmaps, and requirements be kept consistently aligned?
• What practices help maintain a clear overview of large system contexts?

Complex systems emerge from the interplay of people, methods, data, and tools. This track focuses on connected tool ecosystems, digital engineering processes, and seamless information flows. We seek contributions on toolchains, ALM/PLM integration, MBSE, automation, data quality, and practical experience with digital transformation in engineering.

• What tool landscapes support seamless digital engineering?
• How can end-to-end traceability from initial need through to operation be achieved?
• What role do digital twins, simulation, and virtual validation play in RE?
• How can heterogeneous tools and data sources be integrated?
• What experiences exist with AI-powered tools in Requirements Engineering?
• How can tool support foster collaboration in distributed teams?
   

Good requirements emerge through dialogue. This track explores how collaboration, communication, and organisational culture shape the success of Requirements Engineering. We welcome contributions on stakeholder alignment, interdisciplinary teams, decision-making processes, conflict resolution, cultural change, and new forms of collaboration.

• How is collaboration changing in interdisciplinary and distributed teams?
• What new roles are emerging around Requirements Engineering?
• How can organisations be empowered to work in a future-oriented way?
• How can effective communication be achieved between stakeholders with different perspectives?
• What formats promote shared understanding and co-creation?
• How do you build a culture that supports learning, experimentation, and accountability?