会议信息

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

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MODELS
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截稿日期:
2026-03-20
通知日期:
2026-06-17
会议日期:
2026-10-04
会议地点:
Malaga, Spain
届数:
29
CCF: B   ICORE: A   QUALIS: A2   浏览: 77265   关注: 35   参加: 3

会伴指数 (CP-I)

85.0 / 100
全站第 126 名 / 共 5,650 个会议 · 前 3%
学术认可 (35%)
92
投稿选择性 (20%)
86
会议传承 (20%)
92
社区关注 (10%)
53
资料公开度 (15%)
80

用到的输入: 收录等级：CCF B, ICORE A, QUALIS A2 · 录用率：23.6%（有记录的 5 届的均值） · 有据可查的届次：29 · 在会伴关注它的研究者：35 人 · 过去 24 个月打开过本页的研究者：10 人

公开资料里还缺: 历届信息 (+3.0)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 100% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-04

征稿

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.
由 Dou Sun 最后更新于

录用率

平均录用率: 26.3% 12 年间 (1999–2010).

年份提交数录用数录用率(%)
20102535421.3%
20092484518.1%
20082715821.4%
20071584528.5%
20061785128.7%
20051704627.1%
20041353022.2%
20031682514.9%
2002993030.3%
20011023332.4%
2000823643.9%
19991664426.5%

最佳论文

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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
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BIEEE Transactions on Intelligent Transportation Systems8.4IEEE1524-9050
BJournal of Systems and Software3.8Elsevier0164-1212

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