LEADER 05581nam 2200709 a 450 001 9910138863203321 005 20200520144314.0 010 $a1-118-60286-2 010 $a1-118-60295-1 010 $a1-118-60284-6 010 $a1-299-18778-1 035 $a(CKB)2550000001005909 035 $a(EBL)1124674 035 $a(OCoLC)828298908 035 $a(SSID)ssj0000832009 035 $a(PQKBManifestationID)11521864 035 $a(PQKBTitleCode)TC0000832009 035 $a(PQKBWorkID)10882198 035 $a(PQKB)11028278 035 $a(OCoLC)828198486 035 $a(MiAaPQ)EBC1124674 035 $a(Au-PeEL)EBL1124674 035 $a(CaPaEBR)ebr10660561 035 $a(CaONFJC)MIL450028 035 $a(EXLCZ)992550000001005909 100 $a20111021d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aStatic analysis of software$b[electronic resource] $ethe abstract interpretation /$fedited by Jean-Louis Boulanger 210 $aHoboken, N.J. $cWiley$d2012 215 $a1 online resource (347 p.) 225 1 $aISTE 300 $aDescription based upon print version of record. 311 $a1-84821-320-4 320 $aIncludes bibliographical references and index. 327 $aCover; Title Page; Copyright Page; Table of Contents; Introduction; Chapter 1. Formal Techniques for Verification and Validation; 1.1. Introduction; 1.2. Realization of a software application; 1.3. Characteristics of a software application; 1.4. Realization cycle; 1.4.1. Cycle in V and other realization cycles; 1.4.2. Quality control (the impact of ISO standard 9001); 1.4.3. Verification and validation; 1.5. Techniques, methods and practices; 1.5.1. Static verification; 1.5.2. Dynamic verification; 1.5.3. Validation; 1.6. New issues with verification and validation; 1.7. Conclusion 327 $a1.8. BibliographyChapter 2. Airbus: Formal Verification in Avionics; 2.1. Industrial context; 2.1.1. Avionic systems; 2.1.2. A few examples; 2.1.3. Regulatory framework; 2.1.4. Avionic functions; 2.1.5. Development of avionics levels; 2.2. Two methods for formal verification; 2.2.1. General principle of program proof; 2.2.2. Static analysis by abstract interpretation; 2.2.3. Program proof by calculation of the weakest precondition; 2.3. Four formal verification tools; 2.3.1. Caveat; 2.3.2. Proof of the absence of run-time errors: Astre?e; 2.3.3. Stability and numerical precision: Fluctuat 327 $a2.3.4. Calculation of the worst case execution time: aiT (AbsInt GmbH)2.4. Examples of industrial use; 2.4.1. Unitary proof (verification of low level requirements); 2.4.2. The calculation of worst case execution time; 2.4.3. Proof of the absence of run-time errors; 2.5. Bibliography; Chapter 3. Polyspace; 3.1. Overview; 3.2. Introduction to software quality and verification procedures; 3.3. Static analysis; 3.4. Dynamic tests; 3.5. Abstract interpretation; 3.6. Code verification; 3.7. Robustness verification or contextual verification; 3.7.1. Robustness verifications 327 $a3.7.2. Contextual verification3.8. Examples of Polyspace® results; 3.8.1. Example of safe code; 3.8.2. Example: dereferencing of a pointer outside its bounds; 3.8.3. Example: inter-procedural calls; 3.9. Carrying out a code verification with Polyspace; 3.10. Use of Polyspace® can improve the quality of embedded software; 3.10.1. Begin by establishing models and objectives for software quality; 3.10.2. Example of a software quality model with objectives; 3.10.3. Use of a subset of languages to satisfy coding rules; 3.10.4. Use of Polyspace® to reach software quality objectives 327 $a3.11. Carrying out certification with Polyspace®3.12. The creation of critical onboard software; 3.13. Concrete uses of Polyspace®; 3.13.1. Automobile: Cummins Engines improves the reliability of its motor's controllers; 3.13.2. Aerospace: EADS guarantees the reliability of satellite launches; 3.13.3. Medical devices: a code analysis leads to a recall of the device; 3.13.4. Other examples of the use of Polyspace®; 3.14. Conclusion; 3.15. Bibliography; Chapter 4. Software Robustness with Regards to Dysfunctional Values from Static Analysis; 4.1. Introduction; 4.2. Normative context 327 $a4.3. Elaboration of the proof of the robustness method 330 $aThe existing literature currently available to students and researchers is very general, covering only the formal techniques of static analysis. This book presents real examples of the formal techniques called ""abstract interpretation"" currently being used in various industrial fields: railway, aeronautics, space, automotive, etc. The purpose of this book is to present students and researchers, in a single book, with the wealth of experience of people who are intrinsically involved in the realization and evaluation of software-based safety critical systems. As the authors are people curr 410 0$aISTE 606 $aComputer software$xTesting 606 $aDebugging in computer science 606 $aComputer software$xQuality control 608 $aElectronic books. 615 0$aComputer software$xTesting. 615 0$aDebugging in computer science. 615 0$aComputer software$xQuality control. 676 $a005.1/4 701 $aBoulanger$b Jean-Louis$0847395 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910138863203321 996 $aStatic analysis of software$92183107 997 $aUNINA LEADER 03536nam 22006973 450 001 996466419203316 005 20230725152821.0 010 $a3-030-95136-7 035 $a(CKB)5590000000896792 035 $a(MiAaPQ)EBC6897088 035 $a(Au-PeEL)EBL6897088 035 $a(OCoLC)1308501391 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/79362 035 $a(PPN)260828440 035 $a(EXLCZ)995590000000896792 100 $a20220321d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMathematical Modeling of the Human Brain $eFrom Magnetic Resonance Images to Finite Element Simulation / Kent-Andre? Mardal, Marie E. Rognes, Travis B. Thompson, Lars Magnus Valnes 205 $a1st edition. 210 $aCham$cSpringer Nature$d2022 210 1$aCham :$cSpringer International Publishing AG,$d2022. 210 4$d©2022. 215 $a1 online resource (129 pages) $c(XVI, 118 p. 32 illus., 25 illus. in color. :) 225 1 $aSimula SpringerBriefs on Computing ;$vv.10 311 0 $a3-030-95135-9 327 $aIntroduction --Working with magnetic resonance images of the brain --From T1 images to numerical simulation --Introducing heterogeneities --Introducing directionality with diffusion tensors --Simulating anisotropic diffusion in heterogeneous brain regions --Concluding remarks and outlook --References --Index. 330 $aThis open access book bridges common tools in medical imaging and neuroscience with the numerical solution of brain modelling PDEs. The connection between these areas is established through the use of two existing tools, FreeSurfer and FEniCS, and one novel tool, the SVM-Tk, developed for this book. The reader will learn the basics of magnetic resonance imaging and quickly proceed to generating their first FEniCS brain meshes from T1-weighted images. The book's presentation concludes with the reader solving a simplified PDE model of gadobutrol diffusion in the brain that incorporates diffusion tensor images, of various resolution, and complex, multi-domain, variable-resolution FEniCS meshes with detailed markings of anatomical brain regions. After completing this book, the reader will have a solid foundation for performing patient-specific finite element simulations of biomechanical models of the human brain. 410 0$aSimula SpringerBriefs on Computing :$v10. 606 $aHuman physiology 606 $aBiomathematics 606 $aMathematical models 606 $aCervell$2thub 606 $aImatges per ressonància magnètica$2thub 606 $aModels matemàtics$2thub 608 $aLlibres electrònics$2thub 610 $amagnetic resonance imaging 610 $aMesh generation 610 $amathematical modeling 610 $afinite element methods 610 $ascientific computing 615 0$aHuman physiology. 615 0$aBiomathematics. 615 0$aMathematical models. 615 7$aCervell 615 7$aImatges per ressonància magnètica 615 7$aModels matemàtics 700 $aMardal$b Kent-André$0781355 701 $aRognes$b Marie E$01214682 701 $aThompson$b Travis B$096200 701 $aValnes$b Lars Magnus$01214683 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466419203316 996 $aMathematical Modeling of the Human Brain$92804638 997 $aUNISA