000 04557nam a22005895i 4500
001 978-3-642-02161-9
003 DE-He213
005 20160624102130.0
007 cr nn 008mamaa
008 100301s2009 gw | s |||| 0|eng d
020 _a9783642021619
_9978-3-642-02161-9
024 7 _a10.1007/978-3-642-02161-9
_2doi
050 4 _aQA76.758
072 7 _aUMZ
_2bicssc
072 7 _aCOM051230
_2bisacsh
082 0 4 _a005.1
_223
245 1 0 _aSoftware Engineering for Self-Adaptive Systems
_h[electronic resource] /
_cedited by Betty H. C. Cheng, Rogério Lemos, Holger Giese, Paola Inverardi, Jeff Magee.
260 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2009.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2009.
300 _aX, 261 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v5525
505 0 _a1: Research Roadmap -- Software Engineering for Self-Adaptive Systems: A Research Roadmap -- Modeling Dimensions of Self-Adaptive Software Systems -- Engineering Self-Adaptive Systems through Feedback Loops -- 2: Architecture-Based Self-Adaptation -- Improving Architecture-Based Self-Adaptation through Resource Prediction -- Policy-Based Architectural Adaptation Management: Robotics Domain Case Studies -- A Case Study in Goal-Driven Architectural Adaptation -- 3: Context-Aware and Model-Driven Self-Adaptation -- Model-Centric, Context-Aware Software Adaptation -- Modeling of Context-Aware Self-Adaptive Applications in Ubiquitous and Service-Oriented Environments -- MUSIC: Middleware Support for Self-Adaptation in Ubiquitous and Service-Oriented Environments -- Using Architecture Models to Support the Generation and Operation of Component-Based Adaptive Systems -- Model-Driven Assessment of QoS-Aware Self-Adaptation -- 4: Self-Healing -- Automatic Generation of Runtime Failure Detectors from Property Templates -- Using Filtered Cartesian Flattening and Microrebooting to Build Enterprise Applications with Self-adaptive Healing.
520 _aAlthough the self-adaptability of systems has been studied in a wide range of disciplines, from biology to robotics, only recently has the software engineering community recognised its key role in enabling the development of future software systems that are able to self-adapt to changes that may occur in the system, its requirements, or the environment in which it is deployed. The 12 carefully reviewed papers included in this state-of-the-art survey originate from the International Seminar on Software Engineering for Self-Adaptive Systems, held in Dagstuhl Castle, Germany, in January 2008. They examine the current state-of-the-art in the field, describing a wide range of approaches coming from different strands of software engineering, and present future challenges facing this ever-resurgent and challenging field of research. Also included in this book is an invited roadmap paper on the research challenges facing self-adaptive systems within the area of software engineering, based on discussions at the Dagstuhl Seminar and put together by several of its participants. The papers have been divided into topical sections on architecture-based self-adaptation, context-aware and model-driven self-adaptation, and self-healing. These are preceded by three research roadmap papers. .
650 0 _aComputer science.
650 0 _aSoftware engineering.
650 0 _aArtificial intelligence.
650 0 _aComputer simulation.
650 1 4 _aComputer Science.
650 2 4 _aSoftware Engineering.
650 2 4 _aSoftware Engineering/Programming and Operating Systems.
650 2 4 _aProgramming Techniques.
650 2 4 _aProgramming Languages, Compilers, Interpreters.
650 2 4 _aSimulation and Modeling.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aCheng, Betty H. C.
_eeditor.
700 1 _aLemos, Rogério.
_eeditor.
700 1 _aGiese, Holger.
_eeditor.
700 1 _aInverardi, Paola.
_eeditor.
700 1 _aMagee, Jeff.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642021602
786 _dSpringer
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v5525
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-02161-9
942 _2EBK8526
_cEBK
999 _c37820
_d37820