RAISE 2027

The rapid rise of Foundation Models like GPT-4 has transformed AI-powered software (AIware), presenting unprecedented opportunities and challenges in Requirements Engineering (RE). This workshop addresses the need to rethink and enhance RE practices to keep pace with AIware’s capabilities. AIware democratiSes software creation via natural language prompts, requiring new RE strategies to ensure these systems are fair, transparent, and trustworthy.

RAISE 2027 brings together researchers working on requirements engineering, Software engineering for AI, Human-centered software engineering, and AIware. The aim is to enable cross-pollination and knowledge sharing between those software engineering communities across academia and industry to tackle a critical challenge of our time, engineering AI-powered systems that seemingly collaborate with humans, satisfy stakeholders’ needs, and align with society’s values.

RAISE 2027 provides a venue for researchers and practitioners to exchange and discuss trending views, ideas, state-of-the-art, work in progress, and scientific results highlighting aspects of requirements engineering for AIware. Specifically, RAISE 2026:

• Brings together the greater community of researchers and practitioners in RE, SE4AI, AIware, and AI4SE in an interactive program that encourages discussion and scholarly debate on how to undertake RE for AIware from interdisciplinary perspectives.

• Identifies and explores emerging and new research challenges in eliciting, modeling, analyzing, verifying, adapting, and aligning requirements for AIware for and by different researchers, with a variety of expertise and needs.

• Generates a new research agenda, identifies topics of interest for this community, and how future editions of the workshop may explore these topics.

• Outlines and deeply discusses changes to SE curriculum with the future of RE for AIware.

Call for Papers

RAISE 2027 focused on rethinking Requirements Engineering (RE) in the context of AI-powered software (AIware) and invites submissions for its second edition. Key topics include:

• Requirements as Code. Exploring how natural language prompts can effectively specify requirements for AIware, ensuring desired outcomes and avoiding negative impacts.
• RE for AIware. Establishing new RE practices for the AIware lifecycle, including data and model alignment, cognitive architecture design, and performance engineering.
• Dual Training of AI Agents and Software Makers. Investigating how to train software makers (i.e., to interact with AI agents and design AI agents to understand and meet user needs.
• Collaboration Between AIware Agents and Humans. Understanding the interaction dynamics between humans and AIware to improve regulatory compliance, safety, security, and user experience.
• Rethinking RE Curriculum. Redesigning RE education to prepare the next generation of engineers for the challenges of AIware development.

While these topics are of main interest, we welcome any relevant submissions in the area of RE for AIware.

Types of Submissions

RAISE 2027 accepts the following types of papers and welcomes submissions that promotes forward-looking and innovative ideas:

• Technical contributions, presents long research papers in detail (up to 8 pages + 2 pages for references, 20 min presentation + 10 min questions).
• Industrial experience reports address problems and lessons learned from practice (up to 6 pages + 1 page for references, 15 min presentation + 15 min questions).
• Extended Abstracts (Free APC charges) or Discussion-oriented contributions present early ideas and emphasise longer discussions (up to 4 pages + 1 page for references, 10 min presentation + 20 min questions)
• Demos and datasets: presents tools and demos and emphasises hands–on activities (up to 4 pages+ 1 page for references, 10 min presentation + 20 min questions)

In addition, in an effort to support timely and open dissemination of emerging ideas that may not yet be published and enabling researchers and practitioners to exchange insights and shape the rapidly evolving landscape of AI-driven software development, we will consider presentation of high-quality papers that are already posted or intended to be posted to arXiv.org before the workshop. This includes position papers, experience reports, tool demonstrations, and early research ideas. ArXiv Submissions should be made publicly available on arXiv by the date of the workshop. Submissions will be reviewed in a rapid, lightweight process led by the RAISE Main Organisers. ArXiv Submissions will not be included in the proceedings but authors will be invited to present their work at the workshop.