LEADER 05680nam 22006855 450 001 996466439903316 005 20210127080020.0 010 $a3-030-26601-X 024 7 $a10.1007/978-3-030-26601-1 035 $a(CKB)4100000009160283 035 $a(DE-He213)978-3-030-26601-1 035 $a(MiAaPQ)EBC5926318 035 $a(PPN)253256887 035 $a(EXLCZ)994100000009160283 100 $a20190807d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputer Safety, Reliability, and Security$b[electronic resource] $e38th International Conference, SAFECOMP 2019, Turku, Finland, September 11?13, 2019, Proceedings /$fedited by Alexander Romanovsky, Elena Troubitsyna, Friedemann Bitsch 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XXI, 316 p. 320 illus., 92 illus. in color.) 225 1 $aProgramming and Software Engineering ;$v11698 311 $a3-030-26600-1 327 $aFormal Verification -- Towards Zero Alarms in Sound Static Analysis of Finite State Machines -- Graceful Degradation Design Process for Autonomous Driving System -- Formal Verification of Memory Preservation of x86-64 Binaries -- Autonomous Driving -- Brace Touch: a Dependable, Turbulence-Tolerant, Multi-Touch Interaction Technique for Interactive Cockpits -- Fitness Functions for Testing Automated and Autonomous Driving Systems -- A SysML Profile for Fault Trees ? linking safety models to system design -- Safety and Reliability Modeling -- Spectrum-Based Fault Localization in Deployed Embedded Systems with Driver Interaction Models -- Forecast Horizon for Automated Safety Actions in Automated Driving Systems -- Digital Forensics in Industrial Control Systems -- Security Engineering and Risk Assessment -- Efficient Model-level Reliability Analysis of Simulink Models -- Increasing Trust in Data-Driven Model Validation - A Framework for Probabilistic Augmentation of Images and Meta-Data Generation using Application Scope Characteristics -- A Pattern for Arguing the Assurance of Machine Learning in Medical Diagnosis Systems -- Safety Argumentation -- BACRank: Ranking Building Automation and Control System Components by Business Continuity Impact -- Model-Based Run-Time Synthesis of Architectural Configurations for Adaptive MILS Systems -- Dynamic risk assessment enabling automated interventions for medical cyber-physical systems -- Verification and Validation of Autonomous Systems -- Practical Experience Report: Engineering Safe Deep Neural Networks for Automated Driving Systems -- Autonomous Vehicles Meet the Physical World: RSS, Variability, Uncertainty, and Proving Safety -- Automated Evidence Analysis of Safety Arguments using Digital Dependability Identities -- Interactive Systems and Design Validation -- SafeDeML: On Integrating the Safety Design into the System Model -- Towards Trusted Security Context Exchange Protocol for SDN based Low Latency Networks -- Devil?s in the detail: Through-life safety and security co-assurance using SSAF. 330 $aThis book constitutes the proceedings of the 38th International Conference on Computer Safety, Reliability and Security, SAFECOMP 2019, held in Turku, Finland, in September 2019. The 16 full and 5 short papers included in this volume were carefully reviewed and selected from 65 submissions. They were organized in topical sections named: formal verification; autonomous driving; safety and reliability modeling; security engineering and risk assessment; safety argumentation; verification and validation of autonomous systems; and interactive systems and design validation. . 410 0$aProgramming and Software Engineering ;$v11698 606 $aComputer organization 606 $aArtificial intelligence 606 $aSoftware engineering 606 $aOptical data processing 606 $aMicroprogramming  606 $aComputer Systems Organization and Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13006 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aSoftware Engineering/Programming and Operating Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I14002 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aControl Structures and Microprogramming$3https://scigraph.springernature.com/ontologies/product-market-codes/I12018 615 0$aComputer organization. 615 0$aArtificial intelligence. 615 0$aSoftware engineering. 615 0$aOptical data processing. 615 0$aMicroprogramming . 615 14$aComputer Systems Organization and Communication Networks. 615 24$aArtificial Intelligence. 615 24$aSoftware Engineering/Programming and Operating Systems. 615 24$aImage Processing and Computer Vision. 615 24$aControl Structures and Microprogramming. 676 $a005.8 702 $aRomanovsky$b Alexander$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTroubitsyna$b Elena$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBitsch$b Friedemann$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466439903316 996 $aComputer Safety, Reliability, and Security$9772429 997 $aUNISA LEADER 01299nam2 22003013i 450 001 RAV0068100 005 20231121125628.0 100 $a20140820d1963 ||||0itac50 ba 101 | $aita 102 $ait 181 1$6z01$ai $bxxxe 182 1$6z01$an 200 1 $a˜2: L' œarea culturale cinese$e Indocina, Cina, Corea, Giappone$f di M. 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