MDENet Annual
Symposium Dec '22
MDENet is delighted to announce its second Annual Symposium as an hybrid event, at King’s College London and online, on December 1st and 2nd 2022. Great networking opportunities, interactive tutorials, keynote speakers, project funding possibilities and much more.
1 & 2
December 2022
Programme
Keynote Speakers
Jan Peleska
MDE and Industry - an On-and-Off Relationship With a Promising Future
This presentation is based on 30 years of experience with the application of modelling formalisms in industry. This experience has been gained with model-driven design and model-based verification and validation of safety-critical systems in the avionic, railway, and automotive domains. I review the formalisms actually used in industry and give reasons why both academia and industry have failed so far to come up with a modelling language that enjoys a degree of acceptance comparable to programming languages like C/C++, C#, or Java. I will illustrate how the growing complexity of cyber-physical systems increases the need for more effective (and, therefore, also more popular) modelling formalisms. Finally, I will explain why – from my perspective – the new SysML V2 is a promising candidate for such a formalism, and how this potential success could be further ensured.
Jean-Marc Jezequel
Taming Variability in Software Engineering: Past, Present & Future
Finding better ways to handle software complexity and variability is the holy grail for a significant part of the software engineering community, and especially for the Model Driven Engineering (MDE) one. To that purpose, plenty of techniques have been proposed, leading to a succession of trends in model based software developments paradigms in the last decades. While these trends seem to pop out from nowhere, we claim that most of them actually stem from trying to get a better grasp on the variability of software. We revisit the history of Model Based Software Engineering trying to identify the main aspect of variability they wanted to address when they were introduced. We conclude on what are the variability challenges of our time, including variability of data leading to machine learning of models.
Machiel van der Bijl
Modeling and Model Based Testing of a complex rail component (ERTMS)
In this talk Machiel van der Bijl will share the experience of applying MBT from the start in the development of the ProRail railway safety traffic management systems. Topics that will be addressed:
- Introduction of the ProRail case and (Axini) Model Based Testing
- When to use MBT?
- MBT and (scaled) agile, how do they work together
- Approach and roles in MBT
- Lessons learned
Travel and Accommodation Fund
We will consider applications in order of reception, up to our maximum budget.
To apply, you can fill out this form, where you will include your information, as well as a brief budget description of expected costs. We will quickly assess the proposal and get back to you.
Deadline for submissions: 25th November.
You can read the guidelines here: application guidelines.