21st Workshop on Model Driven Engineering, Verification and Validation (MoDeVVa 2024)

MoDeVVa will take place on Sunday, 22 September 2024, in Linz, Austria (co-located with MODELS 2024).

Keynote Speaker: Prof. Joachim Denil (University of Antwerp - FlandersMake, Belgium)

From Validation to Continual Validation: Evolving Digital Twin Systems


Digital twins, digital representations of systems, have become common in solving problems and optimising various systems, e.g., factory scheduling. Simulation models play a crucial role in the decision-making processes of a digital twin. Validation, in simulation model engineering, is checking that a model accurately represents the actual system under design. This is distinct from verification, which is concerned with the proper implementation of the model. 

Simulation validation is done during the system's design phase. However, as systems become operational, change emerges to keep the systems useful. These changes occur for a variety of reasons, e.g., wear and tear, component replacement in the actual system, changes in the operational domain of the system. As the system evolves in its context, so should the twin models. In this keynote, we look at the problem of digital twin evolution and its repercussions on the twin model. 


Bio:  Prof. Dr. Joachim Denil is an associate professor at the University of Antwerp, Faculty of Applied Engineering in Electronics and ICT. His research interests are enabling methods, techniques and tools to design, verify and evolve Cyber-Physical Systems. Specifically, he is interested in the performance modelling and simulation, model-based systems engineering, and verification and validation of models and systems. He serves as an associate editor of the Transaction of the SCS: Simulation. His email address is joachim.denil@uantwerpen.be .

Models are purposeful abstractions of systems and their environments. They can be used to understand, simulate, and validate complex systems at different abstraction levels. Thus, the use of models is of increasing importance for industrial applications. Model-Driven Engineering (MDE) is a development methodology that is based on models, metamodels, and model transformations. The shift from code-centric software development to model-centric software development in MDE opens up promising opportunities for the verification and validation (V&V) of software. On the other hand, the growing complexity of models and model transformations requires efficient V&V techniques in the context of MDE.

The workshop on Model Driven Engineering, Verification and Validation (MoDeVVa) offers a forum for researchers and practitioners who are working on V&V and MDE. The main goals of the workshop are to identify, investigate, and discuss mutual impacts of MDE and V&V.

For the 2024 edition of the MoDeVVa workshop we would like to encourage papers addressing the use of AI techniques such as machine learning, to help address the challenges of model-based V&V, Process Engineering and Quality Assurance, while continuing to welcome work in all areas in the intersection between MDE and V&V.

Scope

Modelling is a powerful technique for handling the complexity of software and hardware artifacts, and their respective environments. Model Driven Engineering (MDE) provides efficient tools for building and working with models, from the requirements specification of a system to code-generation, testing, configuration and deployment. Through the systematic use of digital models, which can be processed automatically by programs, MDE offers the opportunity to verify and  validate every step in the life cycle of a system. Thus, the first motivation for MoDeVVa is the integration of verification and validation (V&V) techniques into MDE.

While V&V can be seen as an enabler in MDE, it presents a set of challenges of its own. These challenges includes issues of usability and integration with MDE processes as well as the technical difficulties of performing V&V tasks.

One way of addressing these challenges is by taking ad-vantage of MDE itself in V&V tasks, for example by means of domain-specific modelling languages (DSMLs) to capture requirements, system properties, specifications and system de-sign, and leveraging all MDE has to offer such as abstraction, refinement, model-transformations and other techniques, to help perform V&V tasks. Thus, the second motivation for MoDeVVa is the integration of MDE techniques into V&V.

Another way of addressing the challenges posed by V&V in MDE is to leverage novel techniques from AI. The advent of practical machine learning techniques and frameworks opens the way for novel approaches to model-based V&V, which are poised to improve the usability and range of V&V. Thus, the third motivation for MoDeVVa is the integration of novel approaches to the challenges presented by V&V and MDE.

Both MDE and V&V intend to help solve “real-world”problems. Real-world problems and systems are complex.Both MDE and V&V propose approaches to tackle such complexity. Thus, the fourth  motivation for MoDeVVa is the applicability of MDE and V&V to complex, real-world problems.

Objectives

The overarching objective of the MoDeVVa workshop is to bring together researchers and practitioners in the domain of V&V and MBSE/MDE so that the key issues in the integration of MDE and V&V can be identified and solved.

More concretely, MoDeVVa's main objectives are to address the following questions:

Special issue

We are pleased to announce that the best papers from MoDEVVa and the SAM Conference will be invited to submit extended versions jointly published in a special issue of Innovations in Systems and Software Engineering: a NASA Journal (ISSE) published by Springer Nature !!

Topics of Interest

We welcome contributions in all areas at the intersection of MBSE/MDE and V&V. Papers addressing the following topics are particularly welcome:
 V&V in MBSE/MDE

MDE in V&V, Certification and Quality Assurance

Tools, usability, and applications

AI-related topics for V&V activities

Organizers