会議情報

MODELS 2026: International Conference on Model Driven Engineering Languages and Systems

会議のウェブサイトを表示するにはログインしてください
無料登録で公式サイトの閲覧、締切のトラッキング、メールリマインダーが利用できます。
新規登録 ログイン
締切カウントダウンバッジを埋め込む
MODELS
このデータを API で取得
検索とランキング一覧は資格情報なしで利用できます。このページの詳細データには無料の API キーが必要です。詳しくは開発者向けガイドをご覧ください。
投稿締切日:
2026-03-20
通知日:
2026-06-17
開催日:
2026-10-04
開催地:
Malaga, Spain
開催回数:
29
CCF: B   ICORE: A   QUALIS: A2   閲覧: 77233   フォロー: 35   参加: 3

会伴インデックス (CP-I)

85.0 / 100
全 5,647 件中 第 126 位 · 上位 3%
学術的評価 (35%)
92
投稿の選択性 (20%)
86
開催回数 (20%)
92
コミュニティの注目度 (10%)
53
公開情報の充実度 (15%)
80

使用した入力: 収録ランク：CCF B, ICORE A, QUALIS A2 · 採択率：23.6%（記録のある 5 回の平均） · 確認できる開催回数：29 · 会伴でフォローしている研究者：35 人 · 過去 24 か月にこのページを開いた研究者：10 人

公開情報で不足しているもの: 過去の開催回 (+3.0)
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 2026-09-02

論文募集

MODELS 2026 (International Conference on Model Driven Engineering Languages and Systems) is a CCF B / ICORE A / QUALIS A2 conference held in Malaga, Spain on 2026-10-04. The paper submission deadline is 2026-03-20. Acceptance notifications are sent on 2026-06-17.

About MODELS is the premier conference series for model-based software and systems engineering. Since 1998, MODELS has covered all aspects of modeling, from languages and methods to tools and applications. MODELS participants originate from a wide variety of backgrounds, including researchers, academics, engineers, and industry professionals. MODELS 2026 is a forum for participants to share the latest research and practical experiences around modeling, modeling languages, and model-based software and systems engineering. Respective contributions advance the fundamentals of modeling and report applications of modeling in areas such as cyber-physical systems, embedded systems, socio-technical systems, cloud computing, big data, machine learning, security, open source, and sustainability. Topics of Interest MODELS 2026 solicits submissions on a variety of topics related to modeling for software and systems engineering including, but not limited to: Fundamentals of model-based engineering, including the definition of syntax and semantics of modeling languages and model transformation languages. New paradigms, formalisms, applications, approaches, frameworks, or processes for model-based engineering such as low-code/no-code development, digital twins, etc. Definition, use, and analysis of model-based generative and re-engineering approaches. Model-based monitoring, analysis, and adaptation heading towards intelligent systems. Development of model-based systems engineering approaches and modeling-in-the-large, including interdisciplinary engineering and coordination. Applications of AI, including generative AI, to model-related engineering problems, e.g., approaches based on search, machine learning, large language models (AI for modeling). Model-based engineering foundations for AI-based systems (modeling for AI). Human, organizational, and user-experience (UX) factors in model-based engineering. Tools, meta-tools, and language workbenches for model-based engineering, including model management and scalable model repositories. Hybrid multi-modeling approaches, i.e., integration of various modeling languages and their tools. Evaluation and comparison of modeling languages, techniques, and tools. Quality assurance (analysis, testing, verification, fidelity assessment) for functional and non-functional properties of models and model transformations. Collaborative modeling to address team management issues, e.g., browser-based and cloud-enabled collaboration. Evolution of modeling languages and related standards. Modeling education, e.g., delivery methods and curriculum design. Modeling in software engineering, e.g., applications of models to address common software engineering challenges. Modeling for specific challenges such as collaboration, scalability, security, interoperability, adaptability, flexibility, maintainability, dependability, reuse, energy efficiency, sustainability, and uncertainty. Modeling with, and for, novel systems and paradigms in fields such as security, cyber-physical systems (CPSs), the Internet of Things, cloud computing, DevOps, blockchain technology, data analytics, data science, machine learning, Big Data, systems engineering, socio-technical systems, critical infrastructures and services, robotics, mobile applications, conversational and agentic AI systems, and open-source software. Empirical studies on the application of model-based engineering in areas such as smart manufacturing, smart cities, smart enterprises, smart mobility, smart society, etc. As in previous years, MODELS 2026 offers two tracks for technical papers: the Foundations Track and the Practice Track. A detailed description of these tracks can be found on the Foundations Track and Practice Track pages, respectively.
最終更新：Dou Sun（）

採択率

平均採択率: 26.3% 12 年間 (1999–2010).

年投稿数採択数採択率(%)
20102535421.3%
20092484518.1%
20082715821.4%
20071584528.5%
20061785128.7%
20051704627.1%
20041353022.2%
20031682514.9%
2002993030.3%
20011023332.4%
2000823643.9%
19991664426.5%

ベストペーパー

関連会議

関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
Journal of Visual Languages and ComputingElsevier1045-926X
CGraphical Models2.2Elsevier1524-0703
BSoftware & Systems Modeling3.2Springer1619-1366
BPattern Recognition7.6Elsevier0031-3203
BIEEE Transactions on Neural Networks and Learning Systems8.9IEEE1045-9227
BInformation Sciences6.0Elsevier0020-0255
BComputer Networks4.7Elsevier1389-1286
BComputers & Security5.4Elsevier0167-4048
BIEEE Transactions on Intelligent Transportation Systems8.4IEEE1524-9050
BJournal of Systems and Software3.8Elsevier0164-1212

コメント 0

まだコメントはありません。

コメントするにはログインしてください