| Description |
1 online resource (xxix, 488 pages) : illustrations (some color) |
| Series |
Lecture Notes in Computer Science, 1611-3349 ; 13964 |
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Lecture notes in computer science ; 13964. 1611-3349
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| Contents |
Intro -- Preface -- Organization -- Invited Talks -- Privacy-Preserving Automated Reasoning -- Enhancing Programming Experiences Using AI: Leveraging LLMs as Analogical Reasoning Engines and Beyond -- Verified Software Security Down to Gates -- Contents - Part I -- Contents - Part II -- Contents - Part III -- Automata and Logic -- Active Learning of Deterministic Timed Automata with Myhill-Nerode Style Characterization -- 1 Introduction -- 2 Preliminaries -- 2.1 Timed Words and Timed Automata -- 2.2 Recognizable Timed Languages -- 2.3 Distinguishing Extensions and Active DFA Learning |
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3 A Myhill-Nerode Style Characterization of Recognizable Timed Languages with Elementary Languages -- 4 Active Learning of Deterministic Timed Automata -- 4.1 Successors of Simple Elementary Languages -- 4.2 Timed Observation Table for Active DTA Learning -- 4.3 Counterexample Analysis -- 4.4 L*-Style Learning Algorithm for DTAs -- 4.5 Learning with a Normal Teacher -- 4.6 Complexity Analysis -- 5 Experiments -- 5.1 RQ1: Scalability with Respect to the Language Complexity -- 5.2 RQ2: Performance on Practical Benchmarks -- 6 Conclusions and Future Work -- References |
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Automated Analyses of IOT Event Monitoring Systems -- 1 Introduction -- 2 Overview -- 3 Technique -- 3.1 Well-formedness Properties -- 4 Experiments -- 5 Conclusion -- A Common Issues with Detector Models -- References -- Learning Assumptions for Compositional Verification of Timed Automata -- 1 Introduction -- 2 Preliminaries -- 2.1 Timed Automata -- 2.2 Learning Deterministic One-Clock Timed Automata -- 3 Framework for Learning-Based Compositional Verification of Timed Automata -- 3.1 Verification Framework via Assumption Learning -- 3.2 Model Conversion -- 3.3 Membership Queries |
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3.4 Candidate Queries -- 3.5 Correctness and Termination -- 4 Optimization Methods -- 4.1 Using Additional Information -- 4.2 Minimizing the Alphabet of the Assumption -- 5 Experimental Results -- 6 Conclusion -- References -- Online Causation Monitoring of Signal Temporal Logic -- 1 Introduction -- 2 Preliminaries -- 2.1 Signal Temporal Logic -- 2.2 Classic Online Monitoring of STL -- 3 Boolean Causation Online Monitor -- 4 Quantitative Causation Online Monitor -- 5 Experimental Evaluation -- 5.1 Experiment Setting -- 5.2 Evaluation -- 6 Related Work -- 7 Conclusion and Future Work -- References |
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Process Equivalence Problems as Energy Games -- 1 Introduction -- 2 Distinctions and Equivalences in Transition Systems -- 2.1 Transition Systems and Hennessy-Milner Logic -- 2.2 Price Spectra of Behavioral Equivalences -- 3 An Energy Game of Distinguishing Capabilities -- 3.1 Energy Games -- 3.2 The Spectroscopy Energy Game -- 3.3 Correctness: Tight Distinctions -- 3.4 Becoming More Clever by Looking One Step Ahead -- 4 Computing Equivalences -- 4.1 Computation of Attacker Winning Budgets -- 4.2 Complexity and How to Flatten It -- 4.3 Equivalences and Distinguishing Formulas from Budgets |
| Summary |
This open access proceedings set constitutes the refereed proceedings of the 35th International Conference on Computer Aided Verification, CAV 2023, which was held in Paris, France, in July 2023 |
| Notes |
Includes author index |
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Online resource; title from PDF title page (SpringerLink, viewed July 18, 2023) |
| In |
Springer Nature eBook |
| Subject |
Computer software -- Verification -- Congresses
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Artificial intelligence.
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artificial intelligence.
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algorithms.
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Computer software -- Verification
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| Genre/Form |
Electronic books
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proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Enea, Constantin, editor.
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Lal, Akash, editor.
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| ISBN |
9783031377068 |
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3031377060 |
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