00704nam0-22002651i-450-99000058660040332120001010000058660FED01000058660(Aleph)000058660FED0100005866020001010d--------km-y0itay50------baitay-------001yy<<I >>MAGLIARI DELL'URBANISTICAGUIZZI ANTONIONapoliGiannini Editore1974Libri di interesse storico e di AntiquariatoGizzi,AntonioITUNINARICAUNIMARCBK99000058660040332107 J-133679DINSCDINSCUNINAING0101794oam 2200493 450 991070972620332120180711100335.0(CKB)5470000002472987(OCoLC)896811322(OCoLC)995470000002472987(EXLCZ)99547000000247298720141123d1997 ua 0engurbn|||||||||txtrdacontentcrdamediacrrdacarrierSimulation of ground-water flow in the coastal plain aquifer system of North Carolina /by G.L. Giese, J.L. Eimers, and R.W. CobleWashington :U.S. Department of the Interior, U.S. Geological Survey,[1997]1 online resource (viii, M142 pages) illustrations, mapsU.S. Geological Survey professional paper ;1404-MRegional aquifer-system analysis--northern Atlantic coastal plainIncludes bibliographical references (pages M140-M142).Groundwater flowNorth CarolinaComputer simulationAquifersNorth CarolinaGroundwater flowComputer simulationfastNorth CarolinafastGroundwater flowComputer simulation.AquifersGroundwater flowComputer simulation.Giese G. L.1397474Eimers Jo LeslieCoble Ronald W(Ronald Wimmer),Geological Survey (U.S.),COPCOPOCLCOOCLCFOCLCAGPOBOOK9910709726203321Simulation of ground-water flow in the coastal plain aquifer system of North Carolina3505077UNINA02373oam 2200457zu 450 991014105510332120241212220151.09781457709241145770924497814577092341457709236(CKB)2670000000131718(SSID)ssj0000669695(PQKBManifestationID)12287958(PQKBTitleCode)TC0000669695(PQKBWorkID)10716256(PQKB)10195044(NjHacI)992670000000131718(EXLCZ)99267000000013171820160829d2011 uy engur|||||||||||txtccr2011 IEEE 19th International Conference on Requirements Engineering[Place of publication not identified]IEEE20111 online resourceBibliographic Level Mode of Issuance: Monograph9781457709210 145770921X The requirements and design level identification and representation of dynamic variability for adaptive systems is a challenging task. This requires time and effort to identify and model the relevant elements as well as the need to consider the large number of potentially possible system configurations. Typically, each individual variability dimension needs to identified and modelled by enumerating each possible alternative. The full set of requirements needs to be reviewed to extract all potential variability dimensions. Moreover, each possible configuration of an adaptive system needs to be validated before use. In this demonstration, we present a tool suite that is able to manage dynamic variability in adaptive systems and tame such system complexity. This tool suite is able to automatically identify dynamic variability attributes such as variability dimensions, context, adaptation rules, and soft/hard goals from requirements documents. It also supports modelling of these artefacts as well as their run-time verification and validation.Systems engineeringCongressesSystems engineering620.001171IEEE StaffPQKBPROCEEDING99101410551033212011 IEEE 19th International Conference on Requirements Engineering2400934UNINA