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FMCAD 2026: Formal Methods in Computer-Aided Design

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FMCAD
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Día de Entrega:
2026-05-04
Fecha de Notificación:
2026-07-19
Fecha de conferencia:
2026-09-14
Ubicación:
Graz, Austria
Ediciones:
CCF: B   ICORE: B   QUALIS: B1   Vistas: 35216   Seguidores: 24   Asistentes: 2

Índice Conference Partner (CP-I)

69,4 / 100
Puesto n.º 348 de 5.682 congresos · 7% superior

N.º 48 de 247 en Ingeniería de software N.º 63 de 341 en Sistemas y arquitectura

Reconocimiento académico (35%)
82
Selectividad en la revisión (20%) Sin datos: se puntúa con la línea base neutra de 50 —
Ediciones celebradas (20%)
89
Atención de la comunidad (10%)
47
Integridad del registro público (15%)
55

Datos utilizados: Categorías: CCF B, ICORE B, QUALIS B1 · Ediciones documentadas: 26 · Investigadores que lo siguen aquí: 24 · Investigadores que abrieron esta página en los últimos 24 meses: 7

Falta en el registro público: Tasas de aceptación históricas (+4,5) · Premios al mejor artículo (+2,3)
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Confianza 80 %: la parte de la puntuación respaldada por datos observados y no por la línea base neutra. Cómo se calcula esta puntuación · Ver la clasificación · Versión del algoritmo 1.1 · Calculado el 2026-09-20

Solicitud de Artículos

FMCAD 2026 (Formal Methods in Computer-Aided Design) is a CCF B / ICORE B / QUALIS B1 conference held in Graz, Austria on 2026-09-14. The paper submission deadline is 2026-05-04. Acceptance notifications are sent on 2026-07-19.

FMCAD 2026 is the twenty-sixth edition in a series of conferences on the theory and applications of formal methods in hardware and system verification. The conference encompasses a wide range of topics related to formal aspects of computer-aided system design, including verification, specification, synthesis, and testing and provides a leading forum to researchers in academia and industry for presenting and discussing groundbreaking methods, technologies, theoretical results, and tools for reasoning formally about computing systems. Topics of Interests FMCAD welcomes submission of papers reporting original research on advances in all aspects of formal methods and their applications to computer-aided design. Topics of interest include (but are not limited to): Model checking, theorem proving, equivalence checking, abstraction and reduction, compositional methods, decision procedures at the bit- and word-level, probabilistic methods, combinations of deductive methods and decision procedures. Synthesis and compilation for computer system descriptions, modeling, specification, and implementation languages, formal semantics of languages and their subsets, model-based design, design derivation and transformation, correct-by-construction methods. Application of formal and semi-formal methods to functional and non-functional specification and validation of hardware and software, including timing and power modeling, verification of computing systems on all levels of abstraction, system-level design and verification for embedded systems, cyber-physical systems, automotive systems and other safety-critical systems, hardware-software co-design and verification, and transaction-level verification. Experience with the application of formal and semi-formal methods to industrial-scale designs; tools that represent formal verification enablement, new features, or a substantial improvement in the automation of formal methods. Application of formal methods to verifying safety, connectivity and security properties of networks, distributed systems, smart contracts, block chains, and IoT devices. Formal verification of data-driven AI systems, addressing safety, robustness to adversarial inputs, reliability, fairness, and compliance with regulatory requirements. Applications of AI to enhance formal methods techniques, including invariant and specification inference, learning-based heuristics for verification and synthesis, and data-driven verification workflows.
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Journal of Computer-Aided Molecular Design3.1Springer0920-654X
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BComputer-Aided Design3.1Elsevier0010-4485
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BSoftware & Systems Modeling3.2Springer1619-1366
BPattern Recognition7.6Elsevier0031-3203
BIEEE Transactions on Neural Networks and Learning Systems8.9IEEE1045-9227
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