International Workshop on
Modelling in Automotive Software Engineering
September 27, 2015
(co-located with MODELS'15)
Michał Antkiewicz, U. Waterloo, Canada
Joanne Atlee, U. Waterloo, Canada
Juergen Dingel, Queen's U., Canada
Ramesh S, General Motors, USA
Michał Antkiewicz, U. Waterloo, Canada
Jo Atlee, U. Waterloo, Canada
Robert Baillargeon, CloudOne, USA
Christian Berger, Chalmers U, Sweden
Betty Cheng, Michigan State University, USA
Rance Cleaveland, U. of Maryland / Reactive Systems Inc
Daniela Damian, University of Victoria, Canada
Nancy Day, University of Waterloo, Canada
Juergen Dingel, Queen’s University, Canada
Anders Eriksson, Saab, Sweden
Sebastian Fischmeister, University of Waterloo, Canada
Simon Fuerst, BMW, Germany
Holger Giese, Hasso-Plattner Institute, Germany
Reinhard von Hanxleden, University of Kiel, Germany
Mark Lawford, McMaster University, Canada
Jonn Lantz, Volvo Cars, Sweden
Bernhard Rumpe, RWTH Aachen, Germany
Ramesh S, GM, USA
Bernhard Schaetz, fortiss, Germany
Ina Schaefer, Braunschweig University of Technology, Germany
Alexander Serebrenik, Eindhoven University of Technology, The Netherlands
Bran Selic, Malina Software, Canada
Sebastian Siegl, Audi, Germany
Mario Trapp, Fraunhofer IESE, Germany
Tawhid bin Waez, Ford, USA
Shige Wang, GM, USA
Haibo Zeng, Virginia Tech, USA
Brenda Zhuang, MathWorks, USA
Call for Papers (PDF)
ProceedingsMASE'15 CEUR Workshop Proceedings are now available for download.
The complexity of designing automotive electronic systems has increased significantly the last two decades. To address these challenges, technical practices and business models have developed to support the evolving landscape. Some of these elements are created to speed the development time such as AUTOSAR and GENIVI. Other standards are evolving to ensure products are produced effectively and to high quality and consistency such as ASPICE and ISO 26262. At the same time practices in Product Line Engineering, Automatic Code Generation, and integrated tool chains have changed the engineering practice and impact on a daily basis. Much of this work and evolution has a common thread in the creation and utilization of models. The ability to recognize and leverage this fact has begun to distinguish the leaders in this domain. Using some simple examples, we will illustrate the currently observed industry practices, challenges in adoption of technology, and the future opportunities to leverage models, and modeling practices, in the daily business of automotive electronic systems.
Automotive software was born less than 40 years ago. The first production automotive microcomputer ECU was a single-function controller used for electronic spark timing in the 1977 General Motors Oldsmobile Toronado. By 1981, GM was using microprocessor-based engine controls executing about 50,000 lines of code across its entire domestic passenger car production. Within just 40 years, the significance, size, and development costs of automotive software has grown to staggering levels: Modern cars can be shipped with as much as 1GB of software encompassing more than 100 million lines of code and experts estimate that more than 80% of automotive innovations now come from computer systems and that the cost of software and electronics can reach 40% of the cost of a car. A consequence of this development is that the automotive industry is increasingly relying on and becoming a driver of advances in 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, standardization, model-based development, cyber-physical systems, and systems engineering. However, the remaining challenges are compounded by future trends: According to an IBM report released in January 2015, the traditional industry boundaries are starting to disappear and automotive companies must adapt not only to the increasing role of cognitive and adaptive technologies and social media, but also to an increasingly open and collaborative ecosystem of traditional and non-traditional industrial participants (such as car-sharing companies); 80% of the 175 industry executives questioned currently feel illprepared for these changes.
Modelling and model-based approaches to software development already have a long tradition in the automotive industry due to, e.g., the high need for abstraction, standardization and interoperability. It is reasonable to believe that advances in modelling will be key to further advancing automotive software engineering as well. 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 software development can be presented and discussed. Another important objective is the identification of new research problems arising from current trends.
MASE’15 encourages submissions presenting novel and insightful descriptions of applications of modelling techniques to problems arising in the context of automotive software engineering. More precisely, topics of interest include, but are not limited to
Moreover, we welcome experience reports describing insightful uses of modelling, and position papers on future challenges and open problems in the area.
Authors are invited to submit technical papers relevant to the workshop topic. Also welcome are insightful experience reports describing the use of modeling in an automotive context or position papers on future research challenges and open problems.
All submissions must be written in English, adhere to the
Springer LNCS formatting guidelines. Both, short papers (not more than 6 pages, including references) and full papers (not more than 10 pages) are welcome. Accepted papers will appear in workshop proceedings published in CEUR. Submissions will be handled using EasyChair and reviewed by at least three PC members.
Any questions should be directed to the workshop organizers: email@example.com