Program
- 09:30-09:40 Workshop Opening
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09:40-10:30
Keynote: RAG to RichEs: Bridging RE Automation Pains with RAG Gains
Chetan Arora
- 10:30-11:00 Coffee Break
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11:00-11:20
Beyond Retrieval: A Study of Using LLM Ensembles for Candidate Filtering in Requirements Traceability
Dominik Fuchß, Stefan Schwedt, Jan Keim and Tobias Hey -
11:20-11:40
Automating Translation from Legal Text to Legal Requirements Specification Language
Caroline Witty, Sarah Santos and Travis Breaux -
11:40-12:00
CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews
Aakash Sorathiya and Gouri Ginde -
12:00-12:20
Automatic Classification of User Requirements from Online Feedback - A Replication Study
Meet Bhatt, Nic Boilard, Muhammad Rehan Chaudhary, Cole Thompson, Jacob Idoko, Aakash Sorathiya and Gouri Ginde
- 12:30-14:00 Lunch
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14:00-14:20
Explainability as a Compliance Requirement: What Regulated Industries Need from AI Tools for Design Artifact Generation
Syed Tuahid Ullah Shah, Mohammad Hussein, Ann Barcomb and Mohammad Moshirpour -
14:20-14:40
Automatic Generation of Explainability Requirements and Software Explanations From User Reviews
Martin Obaidi, Jannik Fischbach, Jakob Droste, Hannah Deters, Marc Herrmann, Jil Klünder, Steffen Krätzig, Hugo Villamizar and Kurt Schneider -
14:40-15:00
One Size Does Not Fit All: On the Role of Batch Size in Classifying Requirements with LLMs
Ashley van Can, Fatma Başak Aydemir and Fabiano Dalpiaz -
15:00-15:20
DRGM: Data Requirement Goal Modeling for ML-Based Systems
Asma Yamani, Nadeen Alamoudi, Salma Albelali, Malak Baslyman and Jameleddine Hassine
- 15:30-16:00 Coffee Break
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16:00-16:20
Description and Comparative Analysis of QuRE: A New Industrial Requirements Quality Dataset
Henning Femmer, Frank Houdek, Max Unterbusch and Andreas Vogelsang -
16:20-16:35
C-LEIA: An Interactive LLM-based Simulator for Requirements Interviews
Nelson Lojo, Rafael Gonzalez, Rohan Philip, Jose Antonio Parejo, Amador Durán Toro, Armando Fox and Pablo Fernandez - 16:35-17:20 Joint Activity: Eliciting Requirements for a Reference Architecture for AIRE Tools
- 17:20-17:30 Workshop Closing
Keynote
Abstract: We've all felt it: the gap between what stakeholders say, what developers understand, and what actually gets built. Requirements Engineering has always been a delicate dance—and often, a painful one. Enter Large Language Models (LLMs), and suddenly the dance floor is crowded with auto-generated specs, hallucinated user stories, and AI-powered enthusiasm. But enthusiasm alone doesn't bridge RE gaps. Over the past year or so, I've been experimenting with Retrieval-Augmented Generation (RAG) as a way to anchor LLMs in real, contextual information—whether that's domain documents, UI wireframes, or stakeholder updates. And it turns out: when you ground generation with the right retrieval, things start to click. In this keynote, I'll talk about how RAG can help tackle some of RE's automation problems with LLMs alone by keeping the generation focused. I'll share what worked, what didn't, and why RAG isn't just another AI buzzword, but a potentially transformative enabler of RE practice. This isn't a silver bullet. But it might just be the thread that helps us stitch together better conversations, better tools, and—just maybe—better requirements.
About the speaker: Dr Chetan Arora is a senior lecturer in software engineering and deputy associate dean for international engagement at Monash University, Australia. Chetan is passionate about requirements engineering, software quality assurance, and applied AI research. He has extensive experience in industry and academia, focusing on responsible AI, trustworthy AI-driven systems, and compliance in software development. His work spans various domains, including space systems, healthcare, finance and legal information systems. He has played a key role in bridging industry and academia through applied research initiatives, with several research outcomes adopted in practice. Chetan has won several best paper awards and is an active member of the requirements engineering community. More details here: https://www.drchetanarora.com/.