Formal Methods and Software Engineering
Editat de Yi Li, Sofiène Taharen Limba Engleză Paperback – 24 oct 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.
Preț: 404.86 lei
Preț vechi: 506.07 lei
-20% Nou
Puncte Express: 607
Preț estimativ în valută:
71.63€ • 83.45$ • 62.55£
71.63€ • 83.45$ • 62.55£
Carte tipărită la comandă
Livrare economică 17-31 ianuarie 26
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9789819975839
ISBN-10: 9819975832
Pagini: 332
Ilustrații: XXVIII, 300 p. 71 illus., 45 illus. in color.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.51 kg
Ediția:1st edition 2023
Editura: Springer
Locul publicării:Singapore, Singapore
ISBN-10: 9819975832
Pagini: 332
Ilustrații: XXVIII, 300 p. 71 illus., 45 illus. in color.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.51 kg
Ediția:1st edition 2023
Editura: Springer
Locul publicării:Singapore, Singapore
Cuprins
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 Model.- Vulnerability Detection via Typestate-Guided Code Representation Learning.