MODELS 2021
Date: Oct 09, 2021 6:00 pm – Oct 15, 2021 5:00 am
Location: Fukuoka City, Japan
ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS 2021)
October 10 - 15, 2021 | Fukuoka City, Japan | https://conf.researchr.org/home/models-2021
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 2021 is a forum for participants to exchange cutting-edge research results and innovative practical experiences around modeling and model-based software and systems.
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.
In 2021, MODELS has a special theme on “Modeling for Human-AI Collaborative Society”. We especially encourage contributions where model-driven engineering intersects with research and applications on, not exclusively, artificial intelligence, Internet of Things, smart cities, robot ethics and value-based Software Engineering.
MODELS 2021 provides two tracks.
**** FOUNDATIONS TRACK ****
We invite authors to submit high quality contributions describing significant, original, and unpublished results in the following
categories:
1. Technical Papers
Technical papers should describe innovative research in modeling or model-driven engineering activities. Papers in this submission category should describe a novel contribution to the field and should carefully support claims of novelty with citations to the relevant literature.
Evaluation Criteria:
Technical papers are evaluated on the basis of originality, soundness, relevance, importance of contribution, strength of validation, quality of presentation and appropriate comparison to related work. Where a submission builds upon previous work of the author(s), the novelty of the new contribution must be described clearly with respect to the previous work. Technical papers need to discuss clearly how the results were validated (e.g., formal proofs, controlled experiments, rigorous case studies, or simulations). Authors are strongly encouraged to make the artifacts used for the evaluation publicly accessible, e.g., through a Github repository or an alternative that is likely to remain available. There will be an artifact evaluation process, as discussed below.
2. New Ideas and Vision Papers
We solicit short papers that present new ideas and visions. Such papers may describe new, non-conventional model-driven engineering research positions or approaches that depart from standard practice. They can describe well-defined research ideas that are at an early stage of investigation. They could also provide new evidence that common wisdom should be challenged, present new unifying theories about existing modeling research that provides novel insight or that can lead to the development of new technologies or approaches, or apply modeling technology to radically new application areas.
Evaluation Criteria:
New ideas and vision papers will be assessed primarily on their level of originality and potential for impact on the field in terms of promoting innovative thinking. Hence, inadequacies in the state-of-the-art and the pertinence, correctness, and impact of the idea/vision must be described clearly, even though the new idea need not be fully worked out, and a fully detailed roadmap need not be presented.
**** PRACTICE AND INNOVATION TRACK
The goal of this track is to fill the gap between foundational research in model-based engineering (MBE) and industrial needs. We invite authors from academia and/or industry to submit original contributions reporting on the development of innovative MBE solutions in industries, public sector, or open-source settings, as well as innovative application of MBE in such contexts. Examples include:
- Scalable and cost-effective methodologies and tools
- Industrial case studies with valuable lessons learned
- Experience reports providing novel insights
Each paper should provide clear take-away value by describing the context of a problem of practical importance, and the application of MBE that leads to a solution.
Evaluation Criteria:
A paper in the P&I Track will be evaluated mainly from its practical take-away and the potential impact of the findings. More specifically, The paper should discuss why the solution to the problem is innovative (e.g., in terms of advancing the state-of-practice), effective, and/or efficient, and what likely practical impact it has or will have; The paper should provide a concise explanation of approaches, techniques, methodologies and tools employed; The paper should explain best practices that emerged, tools developed, and/or software processes involved. Studies reporting on negative findings must provide a thorough discussion of the potential causes of failure, and ideally a perspective on how to solve them.
Submitted by Anonymous
on
ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS 2021)
October 10 - 15, 2021 | Fukuoka City, Japan | https://conf.researchr.org/home/models-2021
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 2021 is a forum for participants to exchange cutting-edge research results and innovative practical experiences around modeling and model-based software and systems.
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.
In 2021, MODELS has a special theme on “Modeling for Human-AI Collaborative Society”. We especially encourage contributions where model-driven engineering intersects with research and applications on, not exclusively, artificial intelligence, Internet of Things, smart cities, robot ethics and value-based Software Engineering.
MODELS 2021 provides two tracks.
**** FOUNDATIONS TRACK ****
We invite authors to submit high quality contributions describing significant, original, and unpublished results in the following
categories:
1. Technical Papers
Technical papers should describe innovative research in modeling or model-driven engineering activities. Papers in this submission category should describe a novel contribution to the field and should carefully support claims of novelty with citations to the relevant literature.
Evaluation Criteria:
Technical papers are evaluated on the basis of originality, soundness, relevance, importance of contribution, strength of validation, quality of presentation and appropriate comparison to related work. Where a submission builds upon previous work of the author(s), the novelty of the new contribution must be described clearly with respect to the previous work. Technical papers need to discuss clearly how the results were validated (e.g., formal proofs, controlled experiments, rigorous case studies, or simulations). Authors are strongly encouraged to make the artifacts used for the evaluation publicly accessible, e.g., through a Github repository or an alternative that is likely to remain available. There will be an artifact evaluation process, as discussed below.
2. New Ideas and Vision Papers
We solicit short papers that present new ideas and visions. Such papers may describe new, non-conventional model-driven engineering research positions or approaches that depart from standard practice. They can describe well-defined research ideas that are at an early stage of investigation. They could also provide new evidence that common wisdom should be challenged, present new unifying theories about existing modeling research that provides novel insight or that can lead to the development of new technologies or approaches, or apply modeling technology to radically new application areas.
Evaluation Criteria:
New ideas and vision papers will be assessed primarily on their level of originality and potential for impact on the field in terms of promoting innovative thinking. Hence, inadequacies in the state-of-the-art and the pertinence, correctness, and impact of the idea/vision must be described clearly, even though the new idea need not be fully worked out, and a fully detailed roadmap need not be presented.
**** PRACTICE AND INNOVATION TRACK
The goal of this track is to fill the gap between foundational research in model-based engineering (MBE) and industrial needs. We invite authors from academia and/or industry to submit original contributions reporting on the development of innovative MBE solutions in industries, public sector, or open-source settings, as well as innovative application of MBE in such contexts. Examples include:
- Scalable and cost-effective methodologies and tools
- Industrial case studies with valuable lessons learned
- Experience reports providing novel insights
Each paper should provide clear take-away value by describing the context of a problem of practical importance, and the application of MBE that leads to a solution.
Evaluation Criteria:
A paper in the P&I Track will be evaluated mainly from its practical take-away and the potential impact of the findings. More specifically, The paper should discuss why the solution to the problem is innovative (e.g., in terms of advancing the state-of-practice), effective, and/or efficient, and what likely practical impact it has or will have; The paper should provide a concise explanation of approaches, techniques, methodologies and tools employed; The paper should explain best practices that emerged, tools developed, and/or software processes involved. Studies reporting on negative findings must provide a thorough discussion of the potential causes of failure, and ideally a perspective on how to solve them.