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Views on Evolvability of Embedded Systems

ISBN-13: 9789400733909 / Angielski / Miękka / 2012 / 316 str.

Pierre Van De Laar; Teade Punter
Views on Evolvability of Embedded Systems Pierre Va Teade Punter 9789400733909 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Views on Evolvability of Embedded Systems

ISBN-13: 9789400733909 / Angielski / Miękka / 2012 / 316 str.

Pierre Van De Laar; Teade Punter
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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.

Kategorie:
Technologie
Kategorie BISAC:
Technology & Engineering > Electronics - Circuits - General
Computers > Software Development & Engineering - Systems Analysis & Design
Computers > Artificial Intelligence - Expert Systems
Wydawca:
Springer
Seria wydawnicza:
Embedded Systems
Język:
Angielski
ISBN-13:
9789400733909
Rok wydania:
2012
Wydanie:
2011
Numer serii:
000390992
Ilość stron:
316
Waga:
0.50 kg
Wymiary:
23.5 x 15.5
Oprawa:
Miękka
Wolumenów:
01

'We were shown the benefits of modeling and visualization and how these could be actively used to move us towards a "right-by-design" way of working' Fons Gijselhart (Vice President Philips Healthcare MRI Systems)

Foreword; Fons Gijselhart. Preface; Boudewijn Haverkort. Acknowledgements; Darwin team.

1 Researching evolvability; Piërre vd Laar, Alexander Douglas, and Pierre America.

2 Architecting for improved evolvability; Pierre America, et al.

3 Complementing software documentation; Pieter vd Spek, Steven Klusener, and Piërre vd Laar.

4 Identifying and investigating evolution type decomposition weaknesses; Adam Vanya, et al.

5 Transferring evolutionary couplings to industry; Piërre van de Laar.

6 An execution viewpoint catalog for software-intensive and embedded systems; Trosky Callo Arias.

7 Researching reference architectures; Gerrit Muller, and Piërre van de Laar.

8 A3-Architecture Overviews; P. Daniel Borches.

9 Linking requirements and implementation; Alexander Douglas.

10 Workflow modelling of intended system use; Thom van Beek and Tetsuo Tomiyama.

11 Supervisory control synthesis in the medical domain; Rolf Theunissen et al.

12 Creating high-quality behavioral designs for software-intensive systems; Gurçan Gulişir, et al.

13 Verifying runtime reconfiguration requirements on UML models; Selim Ciraci, Pim van den Broek, and Mehmet Akşit.

14 Scheduling in MRI scans processing; Evgeniy Ivanov, et al.

15 Strategy-focused architecture decision making; Ana Ivanovic and Pierre America.

16 Balancing time-to-market and quality in evolving embedded systems; Pieter vd Spek and Chris Verhoef.

17 Industrial Impact and Lessons Learned; Teade Punter and Piërre van de Laar.

18 Conclusions; Piërre van de Laar et al.

Annex I Darwin Publications. II List of Darwin Partners. Index.

Piërre van de Laar studied at the Catholic University of Nijmegen and was awarded his master degree (cum laude) in both theoretical and computational physics in 1994 and his PhD on 'Selection in Neural Information Processing' in 1999. He was a senior researcher at Philips Research in Eindhoven. Since 2006, he is a Research Fellow of the Embedded Systems Institute. After performing a study for DaimlerChrysler, he joined the Darwin project.

Teade Punter received a M.Sc (Ir.) from University of Twente in 1991 and a Ph.D. from Eindhoven University of Technology in 2001. He worked at the Open University of the Netherlands, Kema Nederland B.V., Fraunhofer IESE and Eindhoven University of Technology. He has dealt with a variety of topics in software and systems engineering, e.g., software measurement and assessment. Teade is a Knowledge Manager at ESI for multiple projects, including the Darwin project. Teade’s interests are in model driven engineering, integration & test and technology transfer.

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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