Evolvability, the ability to respond effectively to change,
represents a major challenge to today's high-end embedded systems,
such as those developed in the medical domain by Philips
Healthcare. These systems are typically developed by
multi-disciplinary teams, located around the world, and are in
constant need of upgrading to provide new advanced features, to
deal with obsolescence, and to exploit emerging enabling
technologies. Despite the importance of evolvability for these
types of systems, the field has received scant attention from the
scientific and engineering communities.
Views on Evolvability of Embedded Systems focuses on the topic
of evolvability of embedded systems from an applied scientific
perspective. In particular, the book describes results from the
Darwin project that researched evolvability in the context of
Magnetic Resonance Imaging (MRI) systems. This project applied the
Industry-as-Laboratory paradigm, in which industry and academia
join forces to ensure continuous knowledge and technology transfer
during the project's lifetime. The Darwin project was a
collaboration between the Embedded Systems Institute, the MRI
business unit of Philips Healthcare, Philips Research, and five
Dutch universities.
Evolvability was addressed from a system engineering perspective
by a number of researchers from different disciplines such as
software-, electrical- and mechanical engineering, with a clear
focus on economic decision making. The research focused on four
areas: data mining, reference architectures, mechanisms and
patterns for evolvability, in particular visualization &
modelling, and economic decision making. Views on Evolvability of
Embedded Systems is targeted at both researchers and practitioners;
they will not only find a state-of-the-art overview on evolvability
research, but also guidelines to make systems more evolvable and
new industrially-validated techniques to improve the evolvability
of embedded systems.
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