Modeling in Automotive System and Software Engineering Workshop
Co-located with ACM/IEEE 25rd International Conference on Model Driven Engineering Languages and Systems
Submission DetailsCo-located with ACM/IEEE 25rd International Conference on Model Driven Engineering Languages and Systems
Submission DetailsThe 4th Workshop on Modeling in Automotive System and Software Engineering (MASE) 2022 is a satellite event at ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems - MODELS
Automotive software was born less than 40 years ago. Within just 40 years, the significance, size, and development costs of automotive software has grown to staggering levels. The automotive industry is increasingly relying on and becoming a driver of advances in system and software development and engineering methods, techniques and tools to deal with the many unique challenges the automotive industry faces. Significant advances have been made dealing with many of these challenges involving, for instance, variability modeling and software product lines, standardisation, model-based development, cyber-physical systems, and systems engineering. However, the remaining challenges are compounded by future trends.
System and software complexities continue to grow and the industry is being forced to incorporate disruptive technology such as electrification, machine learning, autonomous vehicles and, in the near future, support for vehicle-to-vehicle and vehicle-to-infrastructure communications and collaborations.
A central objective of the workshop is to provide a forum for practitioners and researchers from industry and academia in which novel, innovative, model-based solutions to current and future challenges in automotive system and software development can be presented and discussed. Another important objective is the identification of new research problems arising from current trends.
Moussa | Amrani | University of Namur |
Joanne | Atlee | University of Waterloo |
Mehmet Onur | Aybek | Arcticus Systems |
Ola | Batarseh | General motors |
Alessio | Bucaioni | Mälardalen University |
Marsha | Chechik | University of Toronto |
Betty H.C. | Cheng | Michigan State University |
Amleto | Di Salle | University of L'Aquila |
Juergen | Dingel | Queen’s University |
Predrag | Filipovikj | Scania Group |
Ludovico | Iovino | Gran Sasso Science Institute |
Monika | Jaskolka | Stellantis |
Javier Luis Canovas | Izquierdo | Universitat Oberta de Catalunya |
Robbert | Jongeling | Mälardalen University |
Maged | Khalil | Continental |
Sahar | Kokaly | General Motors |
Stefan | Kugele | Technical University of Munich |
Elena | Lisova | Mälardalen University |
John | Lundbäck | Arcticus Systems AB |
Richard | Paige | McMaster University |
Ina | Schaefer | Braunschweig University of Technology |
Ramesh | S | General Motors |
Bran | Selic | Malina Software Corporation |
Javier | Troya | Universidad de Sevilla |
Alan | Wassyng | McMaster University |
Mark | G.J. van den Brand | Eindhoven University of Technology |
Modeling and model-based approaches to system and software development already have a long tradition in the automotive industry due to, e.g., the high need for abstraction, standardisation and interoperability. It is reasonable to believe that advances in modeling will be key to further advancing automotive system and software engineering as well. MASE 2022 encourages submissions presenting novel and insightful descriptions of applications of modeling techniques to problems arising in the context of automotive system and software engineering. Topics of interest include, but are not limited to:
Authors are invited to submit:
Both, short papers (not more than 5 pages,including references) and full papers (not more than 10 pages including references) are welcome. Contributions must be written in English and adhere to the ACM Master Article Template. All submissions will be reviewed by at least three PC members who are expert or have been experiencing in the related field for years. Accepted papers will be published as joint workshop proceedings in the ACM Digital Library. A selected best paper will be nominated for the MODELS Best Theme Paper Award that this year is on modelling for social good.
Date-Time | Talk/Event |
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08:30 - 08:45
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Opening Remarks
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08:45 - 10:00
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Key note
Ahsan Qamar, Ford
Model Based Systems Engineering for Software Defined Vehicle Developmen
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10:00 - 10:30
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Coffee Break
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10:30 - 10:55
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Stefan Resmerita. Fine-grained Timed Software in Simulink Models
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10:55 - 11:20
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Nicholas Polanco and Betty Cheng. Situational Crime Prevention for Automotive Cybersecurity.
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11:20 - 11:45
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Maribel Acosta, Sebastian Hahner, Anne Koziolek, Thomas Kühn, Raffaela Mirandola and Ralf Reussner. Uncertainty in Coupled Models of Cyber-Physical Systems.
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12:00 - 13:30
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Lunch
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13:30 - 13:55
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Thomas Chiang, Rodrigo Gomez Mendoza, Johan Mahmood and Richard Paige. Towards the Adoption of Model Based System Safety Engineering in the Automotive Industry.
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13:55 - 14:20
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Tristan Höfer, Mattis Hoppe, Evgeny Kusmenko and Bernhard Rumpe.. MontiSim: Agent-Based Simulation for Self-Play Reinforcement Learning of Autonomous Driving.
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14:20 - 15:00
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Open discussion
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The Workshop on Modeling in Automotive Software Engineering of MODELS 2022.
MODELS is the premier conference series for model-based software and systems engineering which since 1998 has been covering all aspects of modeling, from languages and methods to tools and applications.
MODELS 2022 will be held at the MIL Campus of the University of Montreal., in Montreal, Canada.
The MIL Campus is located at the cross-roads of four neighborhoods: Outremont to the south, Town of Mount-Royal (a.k.a. TMR) to the west, Parc Extension (a.k.a. Parc Ex) to the north, and Little Italy to the east.
MODELS 2022 recommends to either rent the many available rooms in the neighborhood on Airbnb or to stay at one of the hundred hotels down-town ONLINE.
In case of questions, contact us via an email to mase2022@easychair.org