LEADER 05842nam 22008055 450 001 9910484784203321 005 20200702012313.0 010 $a3-642-02161-1 024 7 $a10.1007/978-3-642-02161-9 035 $a(CKB)1000000000753993 035 $a(SSID)ssj0000320110 035 $a(PQKBManifestationID)11235199 035 $a(PQKBTitleCode)TC0000320110 035 $a(PQKBWorkID)10347434 035 $a(PQKB)10000095 035 $a(DE-He213)978-3-642-02161-9 035 $a(MiAaPQ)EBC3064267 035 $a(PPN)136306608 035 $a(EXLCZ)991000000000753993 100 $a20100301d2009 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aSoftware Engineering for Self-Adaptive Systems$b[electronic resource] /$fedited by Betty H. C. Cheng, Rogério de Lemos, Paola Inverardi, Jeff Magee 205 $a1st ed. 2009. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2009. 215 $a1 online resource (X, 261 p.) 225 1 $aProgramming and Software Engineering ;$v5525 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-02160-3 320 $aIncludes bibliographical references and index. 327 $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. 330 $aAlthough the self-adaptability of systems has been studied in a wide range of disciplines, from biology to robotics, only recently has the software engineering community recognised its key role in enabling the development of future software systems that are able to self-adapt to changes that may occur in the system, its requirements, or the environment in which it is deployed. The 12 carefully reviewed papers included in this state-of-the-art survey originate from the International Seminar on Software Engineering for Self-Adaptive Systems, held in Dagstuhl Castle, Germany, in January 2008. They examine the current state-of-the-art in the field, describing a wide range of approaches coming from different strands of software engineering, and present future challenges facing this ever-resurgent and challenging field of research. Also included in this book is an invited roadmap paper on the research challenges facing self-adaptive systems within the area of software engineering, based on discussions at the Dagstuhl Seminar and put together by several of its participants. The papers have been divided into topical sections on architecture-based self-adaptation, context-aware and model-driven self-adaptation, and self-healing. These are preceded by three research roadmap papers. . 410 0$aProgramming and Software Engineering ;$v5525 606 $aSoftware engineering 606 $aProgramming languages (Electronic computers) 606 $aComputer programming 606 $aComputer simulation 606 $aArtificial intelligence 606 $aSoftware Engineering/Programming and Operating Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I14002 606 $aSoftware Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/I14029 606 $aProgramming Languages, Compilers, Interpreters$3https://scigraph.springernature.com/ontologies/product-market-codes/I14037 606 $aProgramming Techniques$3https://scigraph.springernature.com/ontologies/product-market-codes/I14010 606 $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aSoftware engineering. 615 0$aProgramming languages (Electronic computers). 615 0$aComputer programming. 615 0$aComputer simulation. 615 0$aArtificial intelligence. 615 14$aSoftware Engineering/Programming and Operating Systems. 615 24$aSoftware Engineering. 615 24$aProgramming Languages, Compilers, Interpreters. 615 24$aProgramming Techniques. 615 24$aSimulation and Modeling. 615 24$aArtificial Intelligence. 676 $a629.836 686 $aDAT 310f$2stub 686 $aDAT 815f$2stub 686 $aSS 4800$2rvk 702 $aCheng$b Betty H. C$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $ade Lemos$b Rogério$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aInverardi$b Paola$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMagee$b Jeff$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910484784203321 996 $aSoftware Engineering for Self-Adaptive Systems$9774227 997 $aUNINA