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CAV 2026: International Conference on Computer Aided Verification

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CAV
投稿締切日:
2026-01-28
通知日:
2026-04-17
開催日:
2026-07-26
開催地:
Lisbon, Portugal
開催回数:
38
CCF: A   ICORE: A*   QUALIS: A1   閲覧: 54197   フォロー: 34   参加: 1

論文募集

CAV 2026 (International Conference on Computer Aided Verification) is a CCF A / ICORE A* / QUALIS A1 conference held in Lisbon, Portugal on 2026-07-26. The paper submission deadline is 2026-01-28. Acceptance notifications are sent on 2026-04-17.

SCOPE CAV 2026 is the 38th in a series dedicated to the advancement of the theory and practice of computer-aided formal analysis methods for hardware and software systems. The conference covers the spectrum from theoretical results to concrete applications, with an emphasis on practical verification tools and the algorithms and techniques that are needed for their implementation. CAV considers it vital to continue spurring advances in hardware and software verification while expanding to new domains such as machine learning, quantum verification, autonomous systems, and computer security. The proceedings of the conference will be published in the Springer-Verlag Lecture Notes in Computer Science series. A selection of papers is expected to be invited to a special issue of Formal Methods in System Design and the Journal of the ACM. Topics of interest include but are not limited to: Foundations of verification and synthesis (mathematical, logical, automata, games) Verification algorithms (model checking, deductive verification) Proof assistants and deductive methods Specifications and correctness criteria for programs and systems SAT, SMT, constraint solving, decision procedures Synthesis algorithms (software, hardware, systems) Program and software verification (including analysis) Hardware verification Verification of concurrent and distributed systems Verification of hybrid, embedded, and cyber-physical systems Abstraction and compositional techniques Probabilistic verification Testing and run-time analysis based on verification technology Formal methods for AI safety, explainability, and machine learning models Formal methods for security Emerging domains for verification and synthesis, e.g., biology, quantum Applications and case studies in practice (esp. in industry) CAV welcomes submissions on theory, algorithms, practice and/or tools. Submissions on a wide range of topics are sought, particularly ones that identify new research directions. CAV 2026 is not limited to topics discussed in previous instances of the conference. Authors concerned about the appropriateness of a topic may communicate with the conference chairs prior to submission.
最終更新：Dou Sun（）

採択率

平均採択率: 30.3% 14 年間 (1996–2014).

年投稿数採択数採択率(%)
20141754626.3%
20132095425.8%
20121403827.1%
20061213528.9%
20051553220.6%
20041443222.2%
20031023231.4%
2002943537.2%
20011063331.1%
2000913538.5%
19991073431.8%
19981173328.2%
1997843440.5%
1996933234.4%

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