Workshop Paper Submission: February 9 February 19, 2024 (AoE) extended
Workshop Paper Notification: February 23 March 5, 2024
Camera-ready version: March 15, 2024
Worskhop : April 8, 2024
The workshop program will be composed of talks by invited speakers, with the goal of keeping an eye on the innovations and latest developments on RE4AI. Besides that, this year, we will also invite submissions, aiming at broadening the community and welcoming papers on new initiatives and projects in the area.
We propose that invited speakers elaborate on their experience with RE4AI, considering the following questions: How is RE of AI system different from RE of non-AI systems? How does RE research position w.r.t. studies in other research areas (e.g., vs. HCI, Systems research, or general Software Engineering)? In other words, how does RE research contribute? How is RE research influenced by contributions from these other research areas?
Paper authors on the other hand are invited to submit papers focusing on one of our topics of interest, and following the submission instructions.
Workshop topics of interest include, but are not restricted to:
RE addressing Technical Robustness and Safety of AI-based solutions
RE facilitating Privacy and Data Governance for AI-based solutions
RE supporting Accountability of AI-based solutions
RE targeted at providing Transparency for AI-based solutions
RE supporting Fairness in Decision-Making within AI-based solutions
Experience with the Engineering of Complex AI Systems
RE for AI in Industrial and Governmental cases
RE for Machine Learning-based Systems
RE for Automated Decision-Making Systems
RE for Robotics
RE for Cyber Physical Systems
The interplay between RE and Ethics for AI
Quality Requirements for AI-based Systems
We invite two kinds of submissions:
Research paper (10-15 pages): Long paper, describing a full-fledged research work, including motivation, state of the art discussion, proposal, validation and analysis of related works.
Research Preview paper (6 pages): Short paper, specifying a problem related to any of the workshop topics, and a roadmap towards addressing it.
Position paper (6 pages): Short paper, stating the position of the author(s) on any of the workshop topics.
A paper of either kind will be evaluated on its potential for generating discussion, on practical relevance and on the originality of the positions stated. We plan to publish accepted papers in CEUR, in the REFSQ workshop volume, as is the tradition in REFSQ.
Papers should be submitted in PDF format. The results described must be unpublished and must not be under review elsewhere. Submissions should be written in English and submitted in PDF format (page size A4, single column) formatted according to the CEUR Proceedings Style. Formatting styles can be found here. If you use Overleaf, here is the link to their new CEUR template, available at: https://tinyurl.com/OverleafTemplateforCEUR
Papers should be submitted through EasyChair at: https://easychair.org/conferences/?conf=re4ai
NLP4RE'24 & RE4AI'24 Joint workshop
Monday, April 8th, 2024 - starting at 9:00
Session 1 (09:00-10:35)
09:00-09:05 Introduction
09:05-10:05 Keynote – Prompting the Future: Integrating Decoder-Only LLMs and Requirements Engineering
Andreas Vogelsang
10:05-10:35 T-FREX: A Transformer-based Feature Extraction Method from Mobile App Reviews
Quim Motger, Alessio Miaschi, Felice Dell'Orletta, Xavier Franch and Jordi Marco
10:35-11:00 Break
Session 2 (11:00-12:30)
11:00-11:30 Automated Requirements Demarcation using Large Language Models: An Empirical Study
Kaishuo Wang, Feier Zhang and Mehrdad Sabetzadeh
11:30-12:00 Which AI Technique Is Better to Classify Requirements? An Experiment with SVM, LSTM, and ChatGPT
Abdelkarim El-Hajjami, Nicolas Fafin and Camille Salinesi
12:40-12:30 Requirements Classification for Smart Allocation: A Case Study in the Railway Industry
Sarmad Bashir, Muhammad Abbas and Mehrdad Saadatmand
12:30-14:00 Lunch
Session 3 - RE4AI (14:00-15:30)
14:00-14:30 Documentation of non-functional requirements for systems with machine learning components
Elma Bajraktari, Thomas Krause and Christian Kücherer
14:30-15:00 Peeking Outside the Black-Box: AI Explainability Requirements beyond Interpretability
Jakob Droste, Hannah Deters, Ronja Fuchs and Kurt Schneider
15:00-15:30 RE4AI Panel by Workshop Participants
15:30-16:00 Break
Session 4 (16:00-17:30)
16:00-16:30 Leveraging Knowledge Graphs for Goal Model Generation
Shahin Abdoul Soukour, William Aboucaya and Nikolaos Georgantas
16:30-17:00 Automating Data Flow Diagram Generation from User Stories Using Large Language Models
Guntur Budi Herwanto
17:00-17:30 Wrap-up and take away messages by Workshop Participants
Renata Guizzardi, University of Twente, The Netherlands
Khan Mohammad Habibullah , Chalmers | University of Gothenburg, Sweden
Anna Perini, FBK, Fondazione Bruno Kessler, Trento, Italy
Angelo Susi, FBK, Fondazione Bruno Kessler, Trento, Italy
Sallam Abualhaija, University of Luxembourg, Luxembourg
Dan Berry, University of Waterloo, Canada
Beatriz Cabrero-Daniel, University of Gothenburg, Sweden
Davide Dell'Anna, Utrecht University, The Netherlands
Alessio Ferrari, ISTI-CNR, Italy
Irit Hadar, University of Haifa, Israel
Eric Knauss, University of Gothenburg, Sweden
Tsvi Kuflik, University of Haifa, Israel
Zhi Jin, Peking University, China
Nauman A. Qureshi, Munster Technological University, Germany
Kurt Schneider, Leibniz Universität Hannover, Germany
Andreas Vogelsang, TU-Berlin, Germany
Krzysztof Wnuk, Blekinge Institute of Technology, Sweden