LEADER 03734nam 2200493 450 001 9910760278703321 005 20240113030858.0 010 $a981-9975-84-0 024 7 $a10.1007/978-981-99-7584-6 035 $a(MiAaPQ)EBC30876552 035 $a(Au-PeEL)EBL30876552 035 $a(DE-He213)978-981-99-7584-6 035 $a(EXLCZ)9928804788100041 100 $a20240113h20242023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aFormal Methods and Software Engineering $e24th International Conference on Formal Engineering Methods, ICFEM 2023, Brisbane, QLD, Australia, November 21-24, 2023, Proceedings /$fYi Li and Sofie?ne Tahar, editors 205 $aFirst edition. 210 1$aSingapore :$cSpringer,$d[2024] 210 4$dİ2023 215 $a1 online resource (319 pages) 225 1 $aLecture Notes in Computer Science Series ;$vVolume 14308 311 08$aPrint version: Li, Yi Formal Methods and Software Engineering Singapore : Springer Singapore Pte. Limited,c2023 9789819975839 320 $aIncludes bibliographical references and index. 327 $aInvited 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. 330 $aThis book constitutes the proceedings of the 24th International Conference on Formal Methods and Software Engineering, ICFEM 2023, held in Brisbane, QLD, Australia, during November 21?24, 2023. The 13 full papers presented together with 8 doctoral symposium papers in this volume were carefully reviewed and selected from 34 submissions, the volume also contains one invited paper. The conference focuses on applying formal methods to practical applications and presents papers for research in all areas related to formal engineering methods. 410 0$aLecture notes in computer science ;$vVolume 14308. 606 $aFormal methods (Computer science)$vCongresses 606 $aSoftware engineering$vCongresses 615 0$aFormal methods (Computer science) 615 0$aSoftware engineering 676 $a004.0151 702 $aLi$b Yi 702 $aTahar$b Sofie?ne 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910760278703321 996 $aFormal Methods and Software Engineering$9771999 997 $aUNINA