MODELS 2020 : Model Driven Engineering Languages and Systems

  in Conferences   Posted on November 5, 2019

Conference Information

Submission Deadline Thursday 30 Apr 2020 Proceedings indexed by :
Conference Dates Oct 18, 2020 - Oct 23, 2020
Conference Address Montreal, Canada
Conference & Submission Link http://www.modelsconference.org
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Guide2Research Overall Ranking: 227
Category Rankings
Software Engineering & Programming 61
Databases & Information Systems 63
Number of Editions: 23 ( since 1998 )
CORE 2018 Rating: A
DBPL Proceedings

Google Scholar H5-index:
21

Conference Call for Papers

MODELS, the ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems, is the premier conference series for model-driven software and systems engineering, and is organized with support of ACM SIGSOFT and IEEE TCSE. 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 2019 is a forum for participants to exchange cutting-edge research results and innovative practical experiences around modeling and model-driven 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.

Topics of Interest
MODELS 2020 seeks submissions on diverse topics related to modeling for software and systems engineering, including, but not limited to:

Foundations of MBE, including definition of the syntax and semantics of modeling and model transformation languages.

New paradigms, formalisms, applications, approaches, frameworks, or processes for MBE.

Development, use, and evolution of domain-specific modeling languages.

Definition, usage, and analysis of generative and reengineering approaches.

Development of systems engineering and modeling-in-the-large concepts.

Search-based MBE and artificial intelligence for MBE.

Human factors in model-based software and systems engineering.

Tools, meta-tools and language workbenches for MBE, including model management.

Integration of modeling languages and tools (hybrid multi-modeling approaches).

Evaluation and comparison of modeling languages, techniques and tools.

Quality assurance (analysis, testing, verification) for functional and non-functional properties of models and model transformations.

Collaborative modeling research to address global and team management issues (e.g., browser-based and cloud-enabled collaboration research and tools).

Evolution of general-purpose modeling languages and related standards.

Evidence-based education research for curricular concerns on modeling topics.

Modeling in software engineering; applications of models to address general software engineering challenges.

Modeling for specific challenges such as collaboration, scalability, security, interoperability, adaptability, flexibility, maintainability, dependability, reuse, energy efficiency, and uncertainty.

Modeling with, and for, new and emerging systems and paradigms such as cyber-security, cyber-physical systems (CPSs), the internet of things (IoTs), cloud computing, DevOps, data analytics, data science, machine learning, big data, systems engineering, social media, devices and services, robotics, mobile applications, conversational agents, open source software, sustainability and modeling for social good.

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