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Tentative Program

Tuesday, August 18th, 2026 Montréal, Canada (co-located with RE'26)
This is a tentative program and is subject to change.
Keynote (9:00 - 10:30)
☕ Coffee Break
  • 10:30-11:00 Coffee Break
Session 1: Requirements Intelligence (11:00 - 12:30)
  • 11:00-11:20 Do Large Language Models Reliably Recognize Functional Requirement Information?
    Jan-Henrik Böttcher and Klaus Schmid
  • 11:20-11:40 LLM-Based Discovery of Latent Requirements from Stakeholder Conversations: Preliminary Results from Industry
    Mithila Sivakumar, Martin Lochner, Shiva Nejati and Mehrdad Sabetzadeh
  • 11:40-12:00 How Well Can AI Generate Backlogs from App Mockups?
    Andrea Lezcano Airaldi, Lourdes Romera and Walid Maalej
  • 12:00-12:20 DARS: An Approach for Data Annotation Requirements Specification
    Yi Peng, Hina Saeeda, Hans-Martin Heyn, Jennifer Horkoff, Eric Knauss and Fredrik Warg
🍽️ Lunch
  • 12:30-13:45 Lunch
Session 2: Artifact Generation (13:45 - 15:15)
  • 13:45-14:05 Generating Behavior-Driven Development (BDD) Artifacts
    Artin Biniek and Nafiseh Kahani
  • 14:05-14:25 EdgeFlow: Edge-Map Augmented VLM-Based Flowchart Processing for Industrial Requirements Engineering
    Zhifei Dou, Shabnam Hassani and Ou Wei
  • 14:25-14:45 On the Viability of Requirements Generation From Code: An Experience Report
    Alexander Korn, Jone Bartel, Max Unterbusch and Andreas Vogelsang
  • 14:45-15:05 Transforming Hand-Drawn Use Case Sketches into Standard-Based UML Use Case Models
    Walt Melo
☕ Coffee Break
  • 15:15-15:45 Coffee Break
Session 3: Quality Assurance (15:45 - 17:15)
  • 15:45-16:05 Semi-Automated Requirement Refactoring for INCOSE Guideline Compliance
    Markus Feneberger and Reinhold Plösch
  • 16:05-16:25 Toward Cost-Efficient Automated Requirements Traceability with Large Language Models
    Nouf Alturayeif, Jameleddine Hassine and Irfan Ahmad
  • 16:25-16:45 Software Requirements Ambiguity Resolution Using Large Language Models
    Abdullah Tahir, Nafiseh Kahani, Mohamed Nasr, Masoud Barati and Paniz Oghabi
  • 16:45-17:05 RADAR: Risk-Aware Ambiguity Detection for Regulatory Requirements
    Amarachi Nwosu and Sanaa Alwidian

Keynote

Jordan Kyriakidis
Jordan Kyriakidis
Multispecies Wormholes and Loopy Thinking: Why the R in RE Is No Longer Sufficient

Abstract: As autonomous, agentic systems increasingly participate in the execution and transformation of socio-technical workflows, they challenge traditional assumptions about the relationship between stakeholders, requirements, and implemented systems. This keynote explores the implications of agentic systems for Requirements Engineering, arguing that RE must broaden its analytical focus beyond individual requirements. It discusses the need to treat the interaction loops involving humans, agents, and their shared operational environments as first-class objects of analysis and design — and why, in this context, the R in RE is no longer sufficient.

About the speaker: Jordan Kyriakidis began his career in downtown Toronto, took a detour through quantum physics, and landed at the intersection of AI, engineering, and business transformation. After earning a PhD in Quantum Theory from the University of Basel (Switzerland), he spent 14 years as a professor at Dalhousie University, leading the Quantum Theory Group — until he left academia to build something new. As CEO of QRA, he leads the development of AI-driven tools that help global aerospace, energy, and biotech companies design and validate complex systems, enabling organizations to uncover hidden risks early, accelerate integration, and create enduring value in high-stakes, high-complexity environments. He also serves on Canada's Federal Advisory Council on AI, advising on national strategy, policy, and commercialization, including the ethical deployment of AI in critical industries.