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ویرایش:
نویسندگان: Virgile Prevosto (editor). Cristina Seceleanu (editor)
سری:
ISBN (شابک) : 3031388275, 9783031388279
ناشر: Springer
سال نشر: 2023
تعداد صفحات: 202
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 9 مگابایت
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در صورت تبدیل فایل کتاب Tests and Proofs: 17th International Conference, TAP 2023, Leicester, UK, July 18–19, 2023, Proceedings (Lecture Notes in Computer Science, 14066) به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب آزمون ها و اثبات ها: هفدهمین کنفرانس بین المللی، TAP 2023، لستر، بریتانیا، 18 تا 19 ژوئیه، 2023، مجموعه مقالات (یادداشت های سخنرانی در علوم کامپیوتر، 14066) نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
Preface Organization Invited Talks Symbolic, Statistical and Randomized Engines in UPPAAL KeY: A Verification Platform for Java Contents Low-Level Code Verification BIRD: A Binary Intermediate Representation for Formally Verified Decompilation of X86-64 Binaries 1 Introduction 2 Related Work 3 Formalization 3.1 Generic BIRD 3.2 Instantiation 1: X86 3.3 Instantiation 2: Early BIRD 4 X86to Early BIRD 5 Conclusion References Low-Level Reachability Analysis Based on Formal Logic 1 Introduction 2 The jump Language 3 Precondition Generation 4 Litmus Tests 4.1 Infinite Reachability Space: Long Division 4.2 Indirect Jumps 5 Case Studies 5.1 Faulty Partitioning for Quicksort 5.2 Karatsuba 6 Related Work 7 Conclusion References Testing a Formally Verified Compiler 1 Introduction 2 Formally Verified Defensive Tests 3 Test Suite for Compiler Correctness 4 Reducing Test Cases 5 Checking the Trusted Computing Base 6 Testing the Performance of Generated Code 7 Conclusion on Testing Formally Verified Software References Formal Models Certified Logic-Based Explainable AI – The Case of Monotonic Classifiers 1 Introduction 2 Preliminaries 3 Explanations for Monotonic Classifiers 4 Proofs 4.1 Coq 4.2 The Coq Formalization 4.3 Results 4.4 Proof Sketch 4.5 Computing Explanations that Are Guaranteed to Be Correct 5 Experiments 5.1 Datasets 5.2 Models 5.3 Computing Explanations 5.4 Comparison with Direct Mono-Language Implementation 6 Conclusions References Context Specification Language for Formally Verifying Consent Properties on Models and Code 1 Introduction 2 Related Work 3 Running Example 3.1 Model of the Hospital Information System 3.2 Implementation of the Information System 3.3 Goal 4 Specifying a System with CSpeL 4.1 Model of a System 4.2 Execution Traces 4.3 Consent Properties 4.4 Concrete Language 5 Verifying Consent with CASTT 5.1 CSpeL Offline Runtime Verification 5.2 Consent Verification on C Source Code 6 Experimentation and Evaluation 6.1 Examples Used 6.2 Offline Runtime Verification Evaluation 6.3 Translation Mechanism Evaluation 7 Conclusion and Perspectives References A Example of generated file B Proof of Properties of Example 3 B.1 Traces at Model Level B.2 Traces at Program Level C Instantiations using CSpeL Model-Based Test Generation Proving Properties of Operation Contracts with Test Scenarios 1 Introduction 2 The Basic Idea Through a Prototypical Example 3 Consistency and Property Reachability 3.1 General Discussion 3.2 Example-Specific Discussion 4 Related Work 5 Conclusion and Future Work References Testing Languages with a Languages-as-Databases Approach 1 Introduction 2 Language Definitions in Lang-SQL 3 The Lang-SQL Query Language 4 Examples of Language Tests 5 A GSOS Validator with Language Tests 6 Evaluation 7 Related Work 8 Conclusion References Symbolic Observation Graph-Based Generation of Test Paths 1 Introduction 2 Preliminaries 2.1 Labelled Transition Systems (LTS) 2.2 Petri Nets 2.3 Symbolic Observation Graph (SOG) 2.4 Test Coverage Criteria 3 Structure-Based Coverage Relation for Petri Nets 4 Test Specification Computation 4.1 On-the-Fly SOG-Based Generation of Observable Traces 4.2 Extracting Abstract Traces 5 Experiments 6 Related Work 7 Conclusion A Proof of Lemma 1 B Proof of Lemma 2 C Proof of Lemma 3 D Proof of Theorem 2 References Abstraction and Refinement Slow Down, Move Over: A Case Study in Formal Verification, Refinement, and Testing of the Responsibility-Sensitive Safety Model for Self-Driving Cars 1 Introduction and Motivation 2 Background 2.1 Responsibility-Sensitive Safety 2.2 Differential Dynamic Logic and Notation 2.3 Differential Refinement Logic 2.4 ModelPlex 3 Formalization of RSS Safety and Optimality 3.1 Formalization and Verification of RSS Safety 3.2 Longitudinal Safety 3.3 Formalization and Verification of RSS Optimality 4 Refinement from dL to Python 5 Testing and Monitoring by Example 5.1 Monitor Structure 5.2 Examples of Monitor Usage 6 Related Work 7 Conclusion and Future Work References Abstract Interpretation of Recursive Logic Definitions for Efficient Runtime Assertion Checking 1 Introduction 2 Illustrated Overview 3 Language Definition 3.1 Formal Syntax 3.2 Program Structure 3.3 Concrete Semantics 3.4 Collecting Semantics 4 Abstract Interpretation Without Logic Functions 4.1 Lattice of Intervals 4.2 Inference Rules 4.3 Improving Precision for Conditionals 5 Abstract Interpretation with Logic Functions 5.1 Inference Rules 5.2 Example of Derivation 5.3 Termination of the Static Analysis 5.4 Interval Inference 5.5 Soundness of the Static Analysis 6 Experimental Evaluation 6.1 Practical Widening Operators 6.2 Evaluation and Comparison of Widening Choices 6.3 Further Improvements to Widening 7 Conclusion and Further Work References Author Index