Requirements for evolvability in complex systems: orderly dynamics and frozen components
CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
Change cases: use cases that identify future requirements
Proceedings of the 11th ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
UML Activity Diagrams as a Workflow Specification Language
«UML» '01 Proceedings of the 4th International Conference on The Unified Modeling Language, Modeling Languages, Concepts, and Tools
Multiple Views to Support Engineering Change Management for Complex Products
CMV '05 Proceedings of the Coordinated and Multiple Views in Exploratory Visualization
A review of function modeling: Approaches and applications
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Physical concept ontology for the knowledge intensive engineering framework
Advanced Engineering Informatics
Evaluating evolvability of computer based systems architectures - an ontological approach
ECBS'97 Proceedings of the 1997 international conference on Engineering of computer-based systems
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This work aims at explicitly modelling key concepts of the evolution process to support the product development process of complex multi-disciplinary systems such as Magnetic Resonance Imaging (MRI) systems. The key concepts span over different domains of the product development process: product use (workflow models), system functionality (Function-Behaviour-State modelling), component interfaces (Design Structure Matrix and Interface model) and the organisational view (stakeholder analysis). By having an explicit view on these domains, effectiveness of change management is improved by showing how changes in one domain propagate to other domains. The focus on simplicity of the models and human understandable language is essential to ensure understanding by all (non-engineering) stakeholders such as nurses and physicians from the start of the evolution process. From these models a modularisation of the system can be extracted. The modularisation separates closely connected elements and thereby reduces the risk of unknown future changes having a high impact. The method is illustrated using a real industrial example, namely, the development of a product that facilitates intra-operative MRI.