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245	1	0	_aFormal Methods and Software Engineering _h[electronic resource] : _b24th International Conference on Formal Engineering Methods, ICFEM 2023, Brisbane, QLD, Australia, November 21–24, 2023, Proceedings / _cedited by Yi Li, Sofiène Tahar.
250			_a1st ed. 2023.
264		1	_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2023.
300			_aXXVIII, 300 p. 71 illus., 45 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aLecture Notes in Computer Science, _x1611-3349 ; _v14308
505	0		_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.
520			_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.
650		0	_aComputer science.
650		0	_aComputer programming.
650		0	_aSoftware engineering.
650		0	_aCompilers (Computer programs).
650		0	_aApplication software.
650		0	_aNatural language processing (Computer science).
650	1	4	_aTheory of Computation.
650	2	4	_aProgramming Techniques.
650	2	4	_aSoftware Engineering.
650	2	4	_aCompilers and Interpreters.
650	2	4	_aComputer and Information Systems Applications.
650	2	4	_aNatural Language Processing (NLP).
700	1		_aLi, Yi. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aTahar, Sofiène. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9789819975839
776	0	8	_iPrinted edition: _z9789819975853
830		0	_aLecture Notes in Computer Science, _x1611-3349 ; _v14308
856	4	0	_uhttps://doi.org/10.1007/978-981-99-7584-6
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