Formal Methods and Software Engineering
24th International Conference on Formal Engineering Methods, ICFEM 2023, Brisbane, QLD, Australia, November 21-24, 2023, Proceedings
Published on 24. October 2023
Book
Paperback/Softback
XXVIII, 300 pages
978-981-99-7583-9 (ISBN)
Description
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.
More details
Series
Edition
1st ed. 2023
Language
English
Place of publication
Singapore
Singapore
Target group
Professional and scholarly
Illustrations
26 s/w Abbildungen, 45 farbige Abbildungen
XXVIII, 300 p. 71 illus., 45 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 19 mm
Weight
505 gr
ISBN-13
978-981-99-7583-9 (9789819975839)
DOI
10.1007/978-981-99-7584-6
Schweitzer Classification
Other editions
Additional editions
Yi Li | Sofiène Tahar
Formal Methods and Software Engineering
24th International Conference on Formal Engineering Methods, ICFEM 2023, Brisbane, QLD, Australia, November 21-24, 2023, Proceedings
E-Book
11/2023
Springer
€69.54
Available for download
Content
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.