RAISE 2026: Second Workshop on Requirements Engineering for AI-powered SoftwarE

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 democratizes software creation via natural language prompts, requiring new RE strategies to ensure these systems are fair, transparent, and trustworthy.

RAISE 2026 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 2026 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 2026 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 2026 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.

Submission Instructions

All submissions must be in PDF format and conform, at time of submission, to the official “ACM Primary Article Template”, which can be obtained from the ACM Proceedings Template Page. LaTeX users should use the sigconf option, as well as the review (to produce line numbers for easy reference by the reviewers) and anonymous (omitting author names) options. To that end, the following LaTeX code can be placed at the start of the LaTeX document:

\documentclass[sigconf,review,anonymous]{acmart}

• All submissions must not exceed the specified page limits. The purchase of additional pages in the proceedings is not allowed.

• Submissions must strictly conform to the ACM conference proceedings formatting instructions specified above. Alterations of spacing, font size, and other changes that deviate from the instructions may result in desk rejection without further review.

• The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of ICSE 2026. The official publication date affects the deadline for any patent filings related to published work.

• Starting 2026, all articles published by ACM will be made Open Access. This is greatly beneficial to the advancement of computer science and leads to increased usage and citation of research. Most authors will be covered by ACM OPEN agreements by that point and will not have to pay Article Processing Charges (APC). Check if your institution participates in ACM OPEN. Authors not covered by ACM OPEN agreements may have to pay APC; however, ACM is offering several automated and discretionary APC Waivers and Discounts.

• RAISE 2026 will use a lightweight double- anonymous review process. No submission may reveal its authors’ identities. In particular:

  • Authors’ names must be omitted from the submission.

  • All references to the author’s prior work should be in the third person.

  • While authors have the right to upload preprints on ArXiV or similar sites, they must avoid specifying that the manuscript was submitted to RAISE 2026.

  • During review, authors should not publicly use the submission title. They should thus use a different paper title for any pre-print in ArXiV or similar websites.

  • Additional material published online should be anonymized and should not provide references to the paper’s authors.

  • All communication with the program committee must go through the program committee chairs. Do not contact individual program committee members regarding your submission.

• By submitting to RAISE 2026, authors acknowledge that they are aware of and agree to be bound by the ACM Policy and Procedures on Plagiarism and the IEEE Plagiarism FAQ. Submissions must follow the latest policies from IEEE and ACM (“IEEE Submission and Peer Review Policy” and “ACM Policy on Authorship”, with associated FAQ), which includes a policy specific to the use of generative AI tools and technologies, such as ChatGPT. In particular, papers submitted to RAISE 2026 must not have been published elsewhere and must not be under review or submitted for review elsewhere whilst under consideration for RAISE 2026. Contravention of this concurrent submission policy will be deemed a serious breach of scientific ethics, and appropriate action will be taken in all such cases. To check for double submission and plagiarism issues, the chairs reserve the right to (1) share the list of submissions with the PC Chairs of other conferences with overlapping review periods and (2) use external plagiarism detection software, under contract to the ACM or IEEE, to detect violations of these policies.

• If the research involves human participants/subjects, the authors must adhere to the ACM Publications Policy on Research Involving Human Participants and Subjects. Upon submitting, authors will declare their compliance with such a policy. Alleged violations of this policy or any ACM Publications Policy will be investigated by ACM and may result in a full retraction of your paper, in addition to other potential penalties, as per ACM Publications Policy.

• Please ensure that you and your co-authors obtain an ORCID ID, so you can complete the publishing process for your accepted paper. ACM and IEEE have been involved in ORCID and may collect ORCID IDs from all published authors. We are committed to improve author discoverability, ensure proper attribution and contribute to ongoing community efforts around name normalization; your ORCID ID will help in these efforts.

• By submitting to RAISE, authors acknowledge that they conform to the authorship policy of the IEEE, the submission policy of the IEEE, and the authorship policy of the ACM (and associated FAQ). This includes the following points related to the use of Generative AI:

  • “Generative AI tools and technologies, such as ChatGPT, may not be listed as authors of an ACM published Work. The use of generative AI tools and technologies to create content is permitted but must be fully disclosed in the Work. For example, the authors could include the following statement in the Acknowledgements section of the Work: ChatGPT was utilized to generate sections of this Work, including text, tables, graphs, code, data, citations, etc.). If you are uncertain ­about the need to disclose the use of a particular tool, err on the side of caution, and include a disclosure in the acknowledgements section of the Work.” - ACM

  • “The use of artificial intelligence (AI)–generated text in an article shall be disclosed in the acknowledgements section of any paper submitted to an IEEE Conference or Periodical. The sections of the paper that use AI-generated text shall have a citation to the AI system used to generate the text.” - IEEE

  • “If you are using generative AI software tools to edit and improve the quality of your existing text in much the same way you would use a typing assistant like Grammarly to improve spelling, grammar, punctuation, clarity, engagement or to use a basic word processing system to correct spelling or grammar, it is not necessary to disclose such usage of these tools in your Work.” - ACM

Submission Link

https://icse2026-raise.hotcrp.com/