MoDELS: Model Driven Engineering Languages and Systems

FacebookTwitterLinkedInGoogle

 

Past:   Proceedings on DBLP

Future:  Post a CFP for 2025 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
MODELS 2024 MODELS 2024 : ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems
Sep 22, 2024 - Sep 27, 2024 Linz, Austria Mar 28, 2024 (Mar 21, 2024)
MODELS 2023 ACM/IEEE 26th International Conference on Model-Driven Engineering Languages and Systems
Oct 1, 2023 - Oct 6, 2023 Vesterås, Sweden Apr 14, 2023 (Apr 7, 2023)
MODELS 2022 MODELS 2022 : ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems
Oct 16, 2022 - Oct 21, 2022 Montreal, Canada May 18, 2022 (May 11, 2022)
MODELS 2021 ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems
Oct 10, 2021 - Oct 15, 2021 Fukuoka, Japan May 7, 2021 (Apr 30, 2021)
MODELS 2020 Model Driven Engineering Languages and Systems
Oct 18, 2020 - Oct 23, 2020 Montreal, Canada May 8, 2020 (Apr 30, 2020)
MODELS 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems
Sep 15, 2019 - Sep 20, 2019 Munich, Germany Apr 29, 2019 (Apr 22, 2019)
MODELS 2018 ACM/IEEE 21th International Conference on Model Driven Engineering Languages and Systems
Oct 14, 2018 - Oct 19, 2018 Copenhagen, Denmark May 4, 2018 (Apr 27, 2018)
MODELS 2017 ACM/IEEE 20th International Conference on Model Driven Engineering Languages and Systems
Sep 17, 2017 - Sep 22, 2017 Austin, Texas Apr 21, 2017 (Apr 14, 2017)
MODELS 2016 ACM/IEEE 19th International Conference on Model Driven Engineering Languages and Systems.
Oct 2, 2016 - Oct 7, 2016 Saint Malo, France Apr 8, 2016 (Apr 1, 2016)
MoDELS 2015 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems
Sep 27, 2015 - Oct 2, 2015 Ottawa, Canada. May 8, 2015 (May 1, 2015)
MODELS 2014 ACM/IEEE 17th International Conference on Model Driven Engineering Languages and Systems (formerly UML)
Sep 28, 2014 - Oct 3, 2014 Valencia, Spain Mar 20, 2014 (Mar 13, 2014)
MODELS 2013 ACM/IEEE 16th International Conference on Model Driven Engineering Languages and Systems
Sep 29, 2013 - Oct 4, 2013 Miami, USA Mar 14, 2013 (Mar 4, 2013)
MODELS 2012 ACM/IEEE 15th International Conference on Model Driven Engineering Languages and Systems (formerly UML)
Oct 1, 2012 - Oct 5, 2012 Innsbruck, Austria Apr 2, 2012 (Mar 19, 2012)
MODELS 2011 International Conference on Model Driven Engineering Languages and Systems
Oct 16, 2011 - Oct 21, 2011 Wellington, New Zealand May 3, 2011 (Apr 18, 2011)
MODELS 2010 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems
Oct 3, 2010 - Oct 8, 2010 Oslo, Norway May 3, 2010 (Apr 18, 2010)
MODELS 2009 ACM/IEEE 12th International Conference on Model Driven Engineering Languages and Systems
Oct 4, 2009 - Oct 9, 2009 Denver, Colorado May 10, 2009 (Apr 26, 2009)
MODELS 2008 ACM/IEEE 11th International Conference on Model Driven Engineering Languages and Systems (formerly UML)
Sep 28, 2008 - Oct 2, 2008 Toulouse, France May 16, 2008 (May 2, 2008)
MODELS 2007 ACM/IEEE 10th International Conference on Model Driven Engineering Languages and Systems (formerly UML)
Sep 30, 2007 - Oct 5, 2007 Nashville, TN, USA TBD
 
 

Present CFP : 2024

---------------------------------------------------------------------------

MODELS 2024

ACM/IEEE 27th International Conference on
Model Driven Engineering Languages and Systems

September 22-27, 2024
Linz, Austria

https://conf.researchr.org/home/models-2024

---------------------------------------------------------------------------

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. Attendees of MODELS come from diverse backgrounds, including researchers, academics, engineers, and industrial professionals. MODELS 2024 is a forum for participants to exchange cutting-edge research results and innovative practical experiences around modeling, modeling languages, and model-based software and systems engineering.

This year's edition will provide an opportunity for the modeling community to further advance the foundations of modeling, and come up with innovative applications of modeling in emerging areas of cyber-physical systems, embedded systems, socio-technical systems, cloud computing, big data, machine learning, security, open source, and sustainability.

---------------------------------------------------------------------------

**** Important Dates ****

Abstract Submission: March 21, 2024
Paper Submission: March 28, 2024
Author responses: May 27-29, 2024
Author notification: June 17, 2024
Camera Ready Due: July 31, 2024

---------------------------------------------------------------------------

**** Topics of Interest (but not restricted to) ****

MODELS 2024 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 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 and organizational 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 agents, 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 2024 offers two tracks for technical papers:
the Foundations Track and the Practice Track. A detailed description of these tracks can be found at:
https://conf.researchr.org/track/models-2024/models-2024-technical-track

NEW THIS YEAR: Foundations Track welcomes both short and long New Ideas and Vision Papers

---------------------------------------------------------------------------

**** FOUNDATIONS TRACK ****

We invite authors to submit high-quality papers describing significant, original, and unpublished results in the following categories:

1. Technical Papers

Technical papers should report on innovative research in modeling or model-driven engineering activities. They should describe a novel contribution to the field and carefully demonstrate the novelty by referencing relevant related literature.

Evaluation Criteria:

Technical papers will be evaluated based on originality, soundness, relevance, significance, strength of validation, quality of presentation, and quality of related work discussions. Submissions must clearly and explicitly describe what is novel about their contribution in comparison to prior work. Results must be validated by formal proofs, rigorous demonstrations (e.g., rigorous case studies or simulations), or empirical evaluations (e.g., controlled experiments or surveys). Authors are strongly encouraged to make the artifacts used for the evaluation publicly available, e.g., via a GitHub repository or an alternative that is expected to provide long-term availability. A respective artifact evaluation process is described below.

2. New Ideas and Vision Papers

New ideas and vision papers describe original, non-conventional research positions in modeling or model-driven engineering and/or approaches that deviate from standard practice. They describe well-defined revolutionary research ideas that are in the early stage of the investigation. They might provide evidence that common wisdom should be challenged, present unifying theories about existing modeling research that can provide new insights or lead to the development of new technologies or approaches, or apply modeling technology to unprecedented application areas.

Evaluation Criteria:

New ideas and vision papers are either short or long papers. Both will be assessed primarily on their degree of originality and potential for advancing innovation in the field. As such, new ideas and vision papers are expected to follow a specific format, and provide a compelling and revolutionary argument. Note that this category is not intended for foundation or practice papers without sufficient evaluation. Such papers will not be accepted. Submissions must clearly describe shortcomings of the state-of-the-art and the relevance, correctness, and impact of the idea/vision. New ideas and vision papers need not be fully worked out and a detailed roadmap need not be provided. The use of worked-out examples to support new ideas is strongly encouraged. Long papers must also supply some degree of validation. However, we accept less rigorous methods of validation such as compelling arguments, exploratory implementations, and substantial examples.
Authors are also strongly encouraged to make any artifacts publicly available, e.g., via a GitHub repository or an alternative that is expected to provide long-term availability. A respective artifact evaluation process is described below.

---------------------------------------------------------------------------

**** PRACTICE TRACK ****

The goal of the Practice Track is to bridge the gap between foundational research in Model-Based Engineering (MBE) and needs in practice. We invite authors to submit original contributions that report on the application of MBE solutions in the industry, the public sector, or open-source environments. Examples include:
* Demonstrations of scalable and cost-effective methodologies and tools.
* Case studies or field reports offering valuable insights.
* Comparisons of competing approaches in real-world scenarios.
* Submissions need to communicate the context of the application and the practical importance of the findings. Unlike the application itself, any reported lessons learned or insights gained must be original.

Evaluation Criteria:

A paper in the Practice Track will be evaluated primarily on the potential impact of its findings. Specifically:

* The paper must describe the context of the MBE application and what problem it solves/addresses.
* The paper should include a concise explanation of the approaches, techniques, methodologies, and tools used.
* The paper should report on the efficacy of the application, ideally in comparison to alternatives, and/or what new lessons have been learned or insights have been gained.
* Studies that report negative results must include a thorough discussion of the possible causes of the failure and, ideally, provide a perspective on how to address them.

Authors are encouraged to make artifacts publicly available, e.g., via a GitHub repository or an alternative that is expected to provide long-term availability. A respective artifact evaluation process is described below.

---------------------------------------------------------------------------

**** Artefact Evaluation ****

Authors of accepted papers will be invited to submit their accompanying artifacts (e.g., software and datasets) to the Artifact Evaluation track to be evaluated by the Artifact Evaluation Committee. Participation in the Artifact Evaluation process is optional and does not affect paper acceptance. Submissions that successfully pass the Artifact Evaluation process will be awarded a seal of approval that will be attached to the papers.

**** Special Issue in SoSyM ****

Authors of best papers from the conference will be invited to revise and submit extended versions of their papers for publication in the Journal of Software and Systems Modeling.
https://www.sosym.org/
 

Related Resources

FPVM 2024   3rd International Workshop on Foundations and Practice of Visual Modeling
Ei/Scopus-AACIP 2024   2024 2nd Asia Conference on Algorithms, Computing and Image Processing (AACIP 2024)-EI Compendex
LLM 4 MDE & MeSS 2024   1st International Workshop Large Language Models for Model-Driven Engineering & 4th International Workshop on MDE for Smart IoT Systems
ACM MLMI 2024   ACM--2024 The 7th International Conference on Machine Learning and Machine Intelligence (MLMI 2024)
SMM4H 2024   The 9th Social Media Mining for Health Research and Applications Workshop and Shared Tasks — Large Language Models (LLMs) and Generalizability for Social Media NLP
CSIA 2024   15th International Conference on Communications Security & Information Assurance
FL@FM-IJCAI 2024   International Workshop on Federated Learning in the Age of Foundation Models In Conjunction with IJCAI 2024
SESBC 2024   5th International Conference on Software Engineering, Security and Blockchain
SCAP 2024   Stuttgart Conference on Automotive Production
SEAPP 2024   13th International Conference on Software Engineering and Applications