VARIABILITY 2026
Tue 29 September - Fri 2 October 2026

GAIV 2026 – Workshop on Generative AI and Variability

Co-located with VARIABILITY 2026, September 29, 2026

Call for Papers

Overview

The Workshop on Generative AI and Variability (GAIV 2026) invites high-quality contributions from researchers and practitioners in software engineering, artificial intelligence, and related disciplines, focusing on the intersection of generative AI (GenAI) and variability-intensive systems. As configurable systems and GenAI technologies rapidly evolve, their interaction raises new opportunities and challenges: GenAI can automate variability engineering tasks, while variability introduces complexity in AI pipelines, prompts, and generated artifacts. GAIV provides a dedicated forum to explore this emerging research space and foster collaboration between the variability and AI-in-SE communities.

Topics of Interest

GenAI for Variability Engineering Feature model extraction, completion, and synthesis LLM-assisted configuration and decision support Automated SPL migration and reengineering GenAI-supported testing, analysis, and debugging Documentation and traceability generation Domain modeling and ontology extraction Variability in GenAI Systems Variability in prompts, parameters, and outputs Product line techniques for AI pipelines and model families Reuse of AI components across variants Consistency and traceability of generated artifacts Feature modeling for AI configuration spaces Testing and quality assurance of AI-based systems Cross-Cutting Themes Empirical studies and evaluations Human–AI collaboration Industrial experience reports Ethical, legal, and quality aspects

Workshop Format

GAIV is planned as an interactive half-day workshop (extendable to full day).
The program includes: Paper presentations with discussion Invited talk from the AI/SE community Interactive working group session to identify research challenges

Submission Guidelines

Paper Types:

  • Regular Papers should be mature research contributions and must be up to 16 pages, including references.
  • Short Papers should present work in progress or novel ideas and must be up to 9 pages, including references.

Formatting

Submissions must follow the Springer LNCS format: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines

Review & Publication

Single-blind peer review (≥2 reviewers) Evaluation: novelty, relevance, rigor, clarity Accepted papers (except position papers) will appear in the VARIABILITY 2026 Proceedings (LNCS)

Important Dates

Workshop Papers Submission: June 30, 2026

Workshop Papers Notification: 15 July, 2026

Camera Ready: 31 July, 2026

Author Registration: 31 July, 2026

Workshop: September 29th 2026

Goals

GAIV aims to:

  • Connect variability and GenAI research communities
  • Identify key challenges and research directions
  • Develop a shared research agenda
  • Foster interdisciplinary collaborations

Organizers

Martin Becker – Fraunhofer IESE, Germany Kristof Meixner – TU Wien, Austria Kentarou Yoshimura - Hitachi, Japan

Submission

Submissions will be handled via the VARIABILITY 2026 system (https://easychair.org/conferences?conf=variability2026).
Further details will be available on the workshop website - https://sites.google.com/view/gaiv-2026

Plenary
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Tue 29 Sep

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08:30 - 17:00
10:30 - 11:00
10:30
30m
Coffee break
Break
Catering

12:30 - 14:00
12:30
90m
Lunch
Lunch
Catering

14:00 - 15:30
Introduction and Industry Perspective GAIV at ATRIUM C
14:00
10m
Day opening
Welcome and Introduction
GAIV
Martin Becker Fraunhofer IESE, Kristof Meixner TU Wien, Kentaro Yoshimura Hitachi, Ltd.
14:10
40m
Talk
GAIV From a Tool's Provider's Perspective
GAIV
14:50
40m
Keynote
Generative AI and Software Variability - An earlier research vision, today's reality, and a possible future
GAIV
Sandra Greiner University of Southern Denmark
15:30 - 16:00
15:30
30m
Coffee break
Break
Catering

16:00 - 17:30
Research Perspective and DiscussionGAIV at ATRIUM C
16:00
30m
Talk
Variability Management for AI-Enabled Systems: An Industry Perspective
GAIV
Kentaro Yoshimura Hitachi, Ltd.
16:30
20m
Talk
Fluent in Variability? An Empirical Study of Large Language Models Across Variability-Related Tasks and Formats
GAIV
Nada Zine Inria, Johannes Stümpfle University of Stuttgart, Clément Quinton University of Lille, Nasser Jazdi University of Stuttgart, Michael Weyrich Universiy of Stuttgart, Romain Rouvoy Univ. Lille / Inria / IUF
16:50
20m
Talk
Fine-Tuning Small Language Models For Valid Universal Variability Language Generation
GAIV
Johannes Stümpfle University of Stuttgart, Florian Schatz University of Stuttgart, Nasser Jazdi University of Stuttgart, Michael Weyrich Universiy of Stuttgart
17:10
20m
Talk
Update on GAIV research vision (Martin Becker, Kristof Meixner, and Kentaro Yoshimura)
GAIV
Martin Becker Fraunhofer IESE, Kristof Meixner TU Wien, Kentaro Yoshimura Hitachi, Ltd.