Conference Information

RE 2026: International Requirements Engineering Conference

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Submission Date:
2026-02-16
Notification Date:
2026-05-08
Conference Date:
2026-08-17
Location:
Montreal, Quebec, Canada
Years:
34
CCF: B   ICORE: A   QUALIS: A1   Viewed: 48594   Tracked: 35   Attend: 10

Conference Partner Index (CP-I)

87.1 / 100
Ranked #108 of 5,682 conferences · Top 2%

#13 of 247 in Software Engineering

Academic recognition (35%)
100
Submission selectivity (20%)
90
Editions held (20%)
96
Community attention (10%)
52
Public record completeness (15%)
65

Inputs used: Listed as CCF B, ICORE A, QUALIS A1 · Acceptance rate: 20.2% (mean of 5 editions on file) · Editions on record: 34 · Researchers following it here: 35 · Researchers who opened this page in the past 24 months: 9

Missing from the public record: Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 100% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-19

Call For Papers

RE 2026 (International Requirements Engineering Conference) is a CCF B / ICORE A / QUALIS A1 conference held in Montreal, Quebec, Canada on 2026-08-17. The paper submission deadline is 2026-02-16. Acceptance notifications are sent on 2026-05-08.

The RE 2026 Research Track welcomes original papers focusing on traditional RE topics, such as requirements elicitation, analysis, prioritization, documentation, validation, evolution, maintenance, and management. It also highly encourages papers covering novel areas at the boundary of RE and other disciplines, including but not limited to software engineering/computer science at large, mechanical/electronic/civil and other engineering, business, social science, psychology, anthropology, and the humanities. In addition, this year, we particularly encourage submissions addressing the theme “Sustainability and workforce transformation in the era of generative AI: How to prepare for a future in collaboration with advanced AI tools and assistants”. This theme focuses on innovating requirements engineering by embracing AI, DevOps, sustainability, security, personalization, and agile practices. As we navigate an increasingly diverse world, we also encourage reflections on how requirements engineering can recognize and respond to the varying needs of a global and heterogeneous user base. It aims to equip professionals with the tools and methodologies needed to address the evolving challenges and opportunities in software development, ensuring robust, user-centric, and adaptable systems. Categories of Research Papers The RE 2026 Research Track invites original submissions of research papers in two categories: Solution-focused papers and Evaluation-focused papers. Solution-focused Papers present novel or significantly improved solutions for requirements-related problems. This includes new approaches or theories, novel tools, modelling languages, infrastructures, or other technologies. All requirements-related activities, such as elicitation, prioritization, or analysis, are in scope. These papers are mainly evaluated based on the significance of the problem addressed, the novelty of the solution in comparison with existing work, clarity of presentation, technical soundness, and evidence of its benefits. A solution-focused paper does not require a thorough validation; however, a preliminary evaluation is expected to demonstrate the effectiveness, ease of use, or other relevant quality attributes of the proposed solution. Evaluation-focused Papers empirically assess phenomena, theories, or real-world artifacts (e.g., methods, techniques, or tools) relevant to requirements engineering. These papers apply empirical software engineering approaches, such as experiments, experimental simulations, case studies, surveys, systematic literature reviews, and others, to report on qualitative and/or quantitative data, findings, and results. The discussion of lessons learned can complement the empirical results. The evaluation criteria for these papers focus on the soundness of the research questions, the appropriateness and correctness of the study design and data analysis, and considerations of threats to validity. Replication studies are welcome.
Last updated by Dou Sun on

Acceptance Ratio

Average acceptance rate: 21.1% over 14 years (1997–2012).

YearSubmittedAcceptedAccepted(%)
20121062624.5%
20111382316.7%
20101532717.6%
20091312519.1%
20081643823.2%
20071722916.9%
20061814223.2%
20051753520%
2004992727.3%
20031352518.5%
20021923317.2%
20011272620.5%
1999801923.8%
1997762127.6%

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