000 05573nam a22005295i 4500
001 978-3-031-30823-9
003 DE-He213
005 20240423125003.0
007 cr nn 008mamaa
008 230421s2023 sz | s |||| 0|eng d
020 _a9783031308239
_9978-3-031-30823-9
024 7 _a10.1007/978-3-031-30823-9
_2doi
050 4 _aQA75.5-76.95
072 7 _aUYA
_2bicssc
072 7 _aCOM014000
_2bisacsh
072 7 _aUYA
_2thema
082 0 4 _a004.0151
_223
245 1 0 _aTools and Algorithms for the Construction and Analysis of Systems
_h[electronic resource] :
_b29th International Conference, TACAS 2023, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2023, Paris, France, April 22–27, 2023, Proceedings, Part I /
_cedited by Sriram Sankaranarayanan, Natasha Sharygina.
250 _a1st ed. 2023.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2023.
300 _aXXIII, 708 p. 193 illus., 140 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 ;
_v13993
505 0 _aInvited Talk.-A Learner-Verifier Framework for Neural Network Controllers and Certificates of Stochastic Systems -- Model Checking -- Bounded Model Checking for Asynchronous Hyperproperties -- Model Checking Linear Dynamical Systems under Floating-point Rounding -- Efficient Loop Conditions for Bounded Model Checking Hyperproperties -- Reconciling Preemption Bounding with DPOR -- Optimal Stateless Model Checking for Causal Consistency -- Symbolic Model Checking for TLA+ Made Faster -- AutoHyper: Explicit-State Model Checking for HyperLTL -- Machine Learning/Neural Networks -- Feature Necessity & Relevancy in ML Classifier Explanations -- Towards Formal XAI: Formally Approximate Minimal Explanations of Neural Networks -- OccRob: Effcient SMT-Based Occlusion Robustness Verification of Deep Neural Networks -- Neural Network-Guided Synthesis of Recursive List Functions -- Automata -- Modular Mix-and-Match Complementation of Buechi automata -- Validating Streaming JSON Documents With Learned VPAs -- Antichains Algorithms for the Inclusion Problem Between ω -VPL -- Stack-Aware Hyperproperties -- Proofs -- Propositional Proof Skeletons -- Unsatisfiability Proofs for Distributed Clause-Sharing SAT Solvers -- Carcara: An effcient proof checker and elaborator for SMT proofs in the Alethe format -- Constraint Solving/Blockchain -- The Packing Chromatic Number of the Infinite Square Grid is 15 -- Active Learning for SAT Solver Benchmarking -- ParaQooba: A Fast and Flexible Framework for Parallel and Distributed QBF Solving -- Inferring Needless Write Memory Accesses on Ethereum Bytecode -- Markov Chains/Stochastic Control -- A Practitioner’s Guide to MDP Model Checking Algorithms -- Correct Approximation of Stationary Distributions -- Robust Almost-Sure Reachability in Multi-Environment MDPs -- Mungojerrie: Linear-Time Objectives in Model-Free Reinforcement Learning -- Verification -- A Formal CHERI-C Semantics for Verification -- Automated Verification for Real-Time Systems via Implicit Clocks and an Extended Antimirov Algorithm -- Parameterized Verification under TSO with Data Types -- Verifying Learning-Based Robotic Navigation Systems: A Case Study -- Make flows small again: revisiting the flow framework -- ALASCA: Reasoning in Quantified Linear Arithmetic -- A Matrix-Based Approach to Parity Games -- A GPU Tree Database for Many-Core Explicit State Space Exploration.
506 0 _aOpen Access
520 _aThis open access book constitutes the proceedings of the 29th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2023, which was held as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2023, during April 22-27, 2023, in Paris, France. The 56 full papers and 6 short tool demonstration papers presented in this volume were carefully reviewed and selected from 169 submissions. The proceedings also contain 1 invited talk in full paper length, 13 tool papers of the affiliated competition SV-Comp and 1 paper consisting of the competition report. TACAS is a forum for researchers, developers, and users interested in rigorously based tools and algorithms for the construction and analysis of systems. The conference aims to bridge the gaps between different communities with this common interest and to support them in their quest to improve the utility, reliability, flexibility, and efficiency of tools and algorithms for building computer-controlled systems.
650 0 _aComputer science.
650 1 4 _aTheory of Computation.
700 1 _aSankaranarayanan, Sriram.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSharygina, Natasha.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031308222
776 0 8 _iPrinted edition:
_z9783031308246
830 0 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v13993
856 4 0 _uhttps://doi.org/10.1007/978-3-031-30823-9
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
912 _aZDB-2-SOB
942 _cSPRINGER
999 _c172940
_d172940