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MODELS '22: ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems

MODELS '22: ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems (MoDELS)

Name: Conference on Model Driven Engineering Languages and Systems
Start: 2022-10-23
End: 2022-10-28
Location: Montreal

Location: Montreal , Canada

Submission deadline: 5/11/2022

Conference dates: 10/23/2022 - 10/28/2022

Research H-index

Official website

Ranking & Metrics

Discipline name	Position	Best Scientists	Publications	D-Index
Computer Science	172	80	182	16

Call for Papers

Contributions related to all aspects of modeling, modeling languages and model-based software and systems engineering are cordially invited to the 25th edition of MODELS, in Montreal, Canada 16-21 October 2022.

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 2022 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.

As in previous years, MODELS 2022 is offering two tracks for technical papers: the Foundations Track and the Practice & Innovation Track.

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.

For this year’s edition, the conference has the special theme “Modeling for social good” #MDE4SG. Thus, we especially encourage contributions where model-based engineering intersects with research and applications on, not exclusively, socio-technical systems, tools with social impact, integrating human values, data science, artificial intelligence, digital twins, Industry/Society 5.0, and intelligent systems in general. Papers are eligible for the Best Theme Paper Award.

We invite you to join us at MODELS 2022, Montreal, Canada and to help shape the modeling languages, methods, and technologies of the future!

Topics of Interest (but not restricted to)
MODELS 2022 seeks submissions on diverse topics related to modeling for software and systems engineering, including, but not limited to:

Foundations of model-based engineering, including 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, usage, and analysis of model-based generative and re-engineering approaches.
Models@Runtime: model-based monitoring, analysis, and adaptation towards intelligent systems, e.g., with digital shadows or digital twins.
Development of model-based systems engineering approaches and modeling-in-the-large including interdisciplinary engineering and coordination.
Applications of AI to model-based engineering problems including e.g., search-based and machine learning approaches.
Model-based engineering foundations for AI-based systems.
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.
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).
Evolution of 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, sustainability, and uncertainty.
Modeling with, and for, new and emerging systems and paradigms such as security, cyber-physical systems (CPSs), the Internet of Things (IoTs), cloud computing, DevOps, data analytics, data science, machine learning, big data, systems engineering, socio-technical systems, critical infrastructures and services, robotics, mobile applications, conversational agents, open-source software, sustainability and modeling for social good.
Empirical studies of applying model-based engineering for domains such as smart production, smart cities, smart enterprises, smart mobility, smart society, etc.
Attendance
If a submission is accepted, at least one author of the paper is required to attend the conference and present the paper.

Overview

The scientific conference ranking presented on this page offers a comprehensive evaluation of conferences within the field of Computer Science. This authoritative list has been meticulously prepared by Research.com, a leading resource for science research and trusted provider of data on scientific contributions since 2014. Renowned for its expertise across all major scientific domains, including Computer Science, Research.com has established a robust reputation for accuracy and reliability.

The conference positions in this ranking are determined using a unique bibliometric score developed by Research.com. This advanced metric incorporates both the estimated h-index and the number of leading scientists who have participated in each conference over the preceding three years, reflecting both the quality and influence of these events. The Impact Score values featured herein were gathered as of 2024-11-27, ensuring that the ranking reflects the latest scholarly achievements and trends.

The development of this ranking was anchored in an exhaustive examination of more than 2,742 conferences, following a rigorous review process. This process entailed detailed inspection and analysis of over 148,739 scientific documents published within the last three years, authored by 13,184 leading and respected scientists in the area of Computer Science. This comprehensive approach underscores the commitment to depth of research and analytical complexity exhibited by the Research.com expert team.

For further details about the methodology and the processes involved in computing the ranking scores, please refer to our Methodology Page.

Papers citation over time

A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Top authors and change over time

The top authors publishing at Model Driven Engineering Languages and Systems (based on the number of publications) are:

Tim Menzies (28 papers) absent at the last edition,
Burak Turhan (22 papers) absent at the last edition,
Richard F. Paige (21 papers) published 2 papers at the last edition, 1 more than at the previous edition,
Leandro L. Minku (21 papers) absent at the last edition,
Fayola Peters (21 papers) absent at the last edition.

The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing at Model Driven Engineering Languages and Systems (based on the number of publications) are:

French Institute for Research in Computer Science and Automation (35 papers) published 1 paper at the last edition, 2 less than at the previous edition,
SINTEF (29 papers) absent at the last edition,
West Virginia University (26 papers) absent at the last edition,
University of York (25 papers) published 2 papers at the last edition the same number as at the previous edition,
Lancaster University (25 papers) absent at the last edition.

The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2017 edition, 11.36% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.51% were posted by at least one author from the top 10 institutions publishing at the conference. Another 7.69% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 41.03% of all publications and 30.77% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

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