A Multi-Paradigm Modeling Foundation for Collaborative Multi-view Model/System Development.

The complexity of current engineered systems has increased drastically over the last decades. The heterogeneity and the complex interplay between physical, software, and network components requires modeling these systems before they are built. These many models must be kept consistent, especially when multiple modelers collaborate on the development of a single system.Inconsistencies arise due to the semantic overlaps between elements in various models. By investigating inconsistencies at a high level of abstraction, it soon becomes clear that they are due to the complexity of the design processes. Humans can no longer comprehend the many relationships between models and their elements.The aim of this PhD project is to identify the causes of inconsistencies in the design of complex heterogeneous systems; to propose the most appropriate analysis and resolution techniques for detecting and fixing inconsistencies, respectively; and finally, to enable the (quantitative or qualitative) assessment of the consequences of applying one resolution technique or another.The work is validated, in collaboration with Flanders Make researchers, using an industrial case study of an "Automated Guided Vehicle" (AGV).

Keywords:SYSTEMS DEVELOPMENT, MODEL DRIVEN ENGINEERING, MECHATRONICS, COMPUTER MODELING

Disciplines:Applied mathematics in specific fields, Computer architecture and networks, Distributed computing, Information sciences, Information systems, Programming languages, Scientific computing, Theoretical computer science, Visual computing, Other information and computing sciences