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008			101029s2011 ne | s |||| 0|eng d
020			_a9789048198498 _9978-90-481-9849-8
040			_cMX-MeUAM
050		4	_aTK7888.4
082	0	4	_a621.3815 _223
100	1		_aVan de Laar, Pierre. _eeditor.
245	1	0	_aViews on Evolvability of Embedded Systems _h[recurso electrónico] / _cedited by Pierre Van de Laar, Teade Punter.
264		1	_aDordrecht : _bSpringer Netherlands : _bImprint: Springer, _c2011.
300			_aXII, 316 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aEmbedded Systems, _x2193-0155
520			_aEvolvability, 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.
650		0	_aEngineering.
650		0	_aSoftware engineering.
650		0	_aSystems engineering.
650	1	4	_aEngineering.
650	2	4	_aCircuits and Systems.
650	2	4	_aSpecial Purpose and Application-Based Systems.
700	1		_aPunter, Teade. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9789048198481
830		0	_aEmbedded Systems, _x2193-0155
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-90-481-9849-8
596			_a19
942			_cLIBRO_ELEC
999			_c206002 _d206002