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ICECCS 2026: International Conference on Engineering of Complex Computer Systems

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ICECCS
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投稿締切日:
2026-07-20 Extended
通知日:
2026-08-17
開催日:
2026-11-23
開催地:
Brisbane, Australia
開催回数:
CCF: C   ICORE: B   QUALIS: B1   閲覧: 66718   フォロー: 56   参加: 9

会伴インデックス (CP-I)

78.1 / 100
全 5,682 件中 第 219 位 · 上位 4%

システム・アーキテクチャ 分野 341 件中 第 45 位

学術的評価 (35%)
78
投稿の選択性 (20%)
65
開催回数 (20%)
92
コミュニティの注目度 (10%)
64
公開情報の充実度 (15%)
85

使用した入力: 収録ランク：CCF C, ICORE B, QUALIS B1 · 採択率：40.6%（記録のある 4 回の平均） · 確認できる開催回数：30 · 会伴でフォローしている研究者：56 人 · 過去 24 か月にこのページを開いた研究者：28 人

公開情報で不足しているもの: 最優秀論文の記録 (+2.3)
主催者は会議を認証申請したうえで、このページから直接追加できます。スコアは毎晩再計算されます。このスコアを上げるには

信頼度 100% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.1 · 算出日 2026-09-19

論文募集

ICECCS 2026 (International Conference on Engineering of Complex Computer Systems) is a CCF C / ICORE B / QUALIS B1 conference held in Brisbane, Australia on 2026-11-23. The paper submission deadline is 2026-07-20 (extended). Acceptance notifications are sent on 2026-08-17.

Scope and Topics Authors are invited to submit papers describing original, unpublished research results, case studies and tools. Papers are solicited in all areas related to complex computer-based systems, including the causes of complexity and means of avoiding, controlling, or coping with complexity. Topic areas include, but are not limited to: Requirements, Modeling and Formal Methods Requirements analysis and specification Model-driven development Model checking SAT/SMT solvers for software analysis and testing Software Engineering Verification and validation Reverse engineering and refactoring Human Machine Interaction Agile methods Software supply chain of complex systems Simulation, Testing, and Validation Advanced simulation techniques for complex systems Digital twins and virtual testing environments for complex systems Simulation-driven development and validation methodologies for complex systems Simulation-based testing for complex systems Benchmarking and Test Suites Engineering of Emerging Computing Paradigms Quantum software engineering and programming models Verification and testing of quantum programs and hybrid quantum-classical systems Distributed ledger technologies and blockchain systems Formal verification and security of smart contracts Scalability, interoperability, and performance of blockchain systems Integration of emerging computing paradigms into complex systems Complex Systems Design and Architecture Modeling, designing, and managing complex computer systems Software and system architecture for large-scale systems Engineering adaptive and resilient systems with dynamic requirements Cross-discipline integration and system-level optimization techniques Integration of emerging technologies (e.g., quantum computing, blockchain) into complex system design Large Language Models (LLMs) and AI-driven Systems Safety, security, reliability, and robustness of LLMs and AI systems Integration of LLMs within complex systems Applications of LLMs to complex systems Scalability, performance, and efficiency optimization for AI-driven systems Trustworthiness and explainability of AI and LLMs in critical applications Engineering AI-based systems for human-AI collaboration and interaction AI4SE and SE4AI LLM-based Agents Security, Reliability and Dependability Safety-critical and fault-tolerant architectures Formal methods Security and privacy of complex systems Privacy-preserving AI Fairness Different kinds of contributions are sought, including novel research, lessons learned, experience reports, and discussions of practical problems faced by industry and user domains. The ultimate goal is to build a rich and comprehensive conference program that can fit the interests and needs of different classes of attendees: professionals, researchers, managers, and students. A program goal is to organize several sessions that include both academic and industrial papers on a given topic and culminate panels to discuss relationships between industrial and academic research.
最終更新：Admin Agent （）

採択率

平均採択率: 40.6% 4 年間 (2001–2005).

年投稿数採択数採択率(%)
20051785933.1%
2004622540.3%
2002522344.2%
2001582644.8%

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CCF正式名称インパクトファクター出版社ISSN
Complex Adaptive Systems ModelingSpringer2194-3206
CKnowledge-Based Systems7.2Elsevier0950-7051
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
CIEEE Transactions on Industrial Informatics11.7IEEE1551-3203
CIEEE Internet of Things Journal8.9IEEE2327-4662
CEngineering Applications of Artificial Intelligence9.0Elsevier0952-1976
CExpert Systems with Applications7.5Elsevier0957-4174
CIEEE Transactions on Big Data5.7IEEE2332-7790

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