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Record Nr. |
UNISA996565870603316 |
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Titolo |
Formal Methods and Software Engineering : 24th International Conference on Formal Engineering Methods, ICFEM 2023, Brisbane, QLD, Australia, November 21-24, 2023, Proceedings / / Yi Li and Sofiène Tahar, editors |
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Pubbl/distr/stampa |
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Singapore : , : Springer, , [2024] |
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©2023 |
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ISBN |
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Edizione |
[First edition.] |
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Descrizione fisica |
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1 online resource (319 pages) |
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Collana |
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Lecture Notes in Computer Science Series ; ; Volume 14308 |
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Disciplina |
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Soggetti |
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Formal methods (Computer science) |
Software engineering |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Invited Talk: Verifying Compiler Optimisations -- Regular Papers: An Idealist’s Approach for Smart Contract Correctness -- Active Inference of EFSMs Without Reset -- Learning Mealy Machines with Local Timers -- Compositional Vulnerability Detection with Insecurity Separation Logic -- Dynamic Extrapolation in Extended Timed Automata -- Formalizing Robustness against Character-level Perturbations for Neural Network Language Models -- Trace models of concurrent valuation algebras -- Branch and Bound for Sigmoid-like Neural Network Verification -- Certifying Sequential Consistency of Machine Learning Accelerators -- Guided Integration of Formal Verification in Assurance Cases -- Validation-Driven Development -- Incremental Property Directed Reachability -- Proving Local Invariants in ASTDs -- Doctoral Symposium Papers: Formal Verification of the Burn-to-Claim Blockchain Interoperable Protocol -- Early and systematic validation of formal models -- Verifying Neural Networks by Approximating Convex Hulls -- Eager to Stop: Efficient Falsification of Deep Neural Networks -- A Runtime Verification Framework For Cyber-physical Systems Based On Data Analytics And LTL Formula Learning -- Unified Verification of Neural Networks’ Robustness and Privacy in Computer Vision -- IoT Software Vulnerability Detection Techniques through Large Language |
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Model -- Vulnerability Detection via Typestate-Guided Code Representation Learning. |
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Sommario/riassunto |
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This book constitutes the proceedings of the 24th International Conference on Formal Methods and Software Engineering, ICFEM 2023, held in Brisbane, QLD, Australia, during November 21–24, 2023. The 13 full papers presented together with 8 doctoral symposium papers in this volume were carefully reviewed and selected from 34 submissions, the volume also contains one invited paper. The conference focuses on applying formal methods to practical applications and presents papers for research in all areas related to formal engineering methods. |
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2. |
Record Nr. |
UNINA9910409680103321 |
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Titolo |
Parallel Processing and Applied Mathematics : 13th International Conference, PPAM 2019, Bialystok, Poland, September 8–11, 2019, Revised Selected Papers, Part II / / edited by Roman Wyrzykowski, Ewa Deelman, Jack Dongarra, Konrad Karczewski |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (XXIII, 503 p. 164 illus., 90 illus. in color.) |
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Collana |
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Theoretical Computer Science and General Issues, , 2512-2029 ; ; 12044 |
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Disciplina |
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Soggetti |
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Software engineering |
Computer engineering |
Computer networks |
Computer science - Mathematics |
Operating systems (Computers) |
Database management |
Software Engineering |
Computer Engineering and Networks |
Mathematics of Computing |
Operating Systems |
Database Management System |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Workshop on Language-Based Parallel Programming Models (WLPP 2019) -- Workshop on Models Algorithms and Methodologies for Hybrid Parallelism in New HPC Systems -- Workshop on Power and Energy Aspects of Computations (PEAC 2019) -- Special Session on Tools for Energy Efficient Computing -- Workshop on Scheduling for Parallel Computing (SPC 2019) -- Workshop on Applied High Performance Numerical Algorithms for PDEs -- Minisymposium on HPC Applications in Physical Sciences -- Minisymposium on High Performance Computing Interval Methods -- Workshop on Complex Collective Systems. |
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Sommario/riassunto |
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The two-volume set LNCS 12043 and 12044 constitutes revised selected papers from the 13th International Conference on Parallel Processing and Applied Mathematics, PPAM 2019, held in Bialystok, Poland, in September 2019. The 91 regular papers presented in these volumes were selected from 161 submissions. For regular tracks of the conference, 41 papers were selected from 89 submissions. The papers were organized in topical sections named as follows: Part I: numerical algorithms and parallel scientific computing; emerging HPC architectures; performance analysis and scheduling in HPC systems; environments and frameworks for parallel/distributed/cloud computing; applications of parallel computing; parallel non-numerical algorithms; soft computing with applications; special session on GPU computing; special session on parallel matrix factorizations. Part II: workshop on language-based parallel programming models (WLPP 2019); workshop on models algorithms and methodologies for hybrid parallelism in new HPC systems; workshop on power and energy aspects of computations (PEAC 2019); special session on tools for energy efficient computing; workshop on scheduling for parallel computing (SPC 2019); workshop on applied high performance numerical algorithms for PDEs; minisymposium on HPC applications in physical sciences; minisymposium on high performance computing interval methods; workshop on complex collective systems. Chapters "Parallel adaptive cross approximation for the multi-trace formulation of scattering problems" and "A High-Order Discontinuous Galerkin Solver with Dynamic Adaptive Mesh Refinement to Simulate Cloud Formation Processes" of LNCS 12043 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. |
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