TORMCA Tool for Regular Model Checking 1st edition by Axel Legay ISBN 3540705437 9783540705437

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Product details:

ISBN 10:       3540705437
ISBN 13: 978-3540705437
Author:         Axel Legay

Within the context of the verification of infinite-state systems, “(ω)-Regular model checking” is the name of a family of techniques in which states are represented by words, sets of states by finite automata on these objects, and transitions by finite automata operating on pairs of state encodings, i.e. finite-state transducers. If the states are encoded by finite words, then sets of (pairs of) states can be represented by finite-word automata. This setting can be used to represent various classes of infinite-state systems, [17], including parametric systems, FIFO-queue systems, and systems manipulating integer variables (those defined in Presburger arithmetic). When the states are encoded by infinite words, sets of (pairs of) states are represented by deterministic weak Büchi automata. This setting is mainly used to represent systems involving both integer and real variables [4,6], such as linear hybrid systems with a constant derivative.

T(O)RMCA Tool for (ω)-Regular Model Checking 1st Table of contents:

Chapter 1: Introduction
1.1 Overview of Model Checking
1.2 (ω)-Regular Properties in Formal Verification
1.3 Introduction to T(O)RMCA Tool
1.4 Motivation and Goals of the Tool
1.5 Structure of the Paper

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Chapter 2: Background and Related Work
2.1 Model Checking: Concepts and Techniques
2.2 Regular Properties in Formal Verification
2.3 (ω)-Regular Languages and Their Applications
2.4 Existing Tools for Model Checking
2.5 Previous Work on (ω)-Regular Model Checking
2.6 Comparison of T(O)RMCA with Other Tools

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Chapter 3: Theoretical Foundations
3.1 Formal Definitions and Notations
3.2 (ω)-Regular Properties: Syntax and Semantics
3.3 Model Checking Algorithms for (ω)-Regular Properties
3.4 Complexity of (ω)-Regular Model Checking
3.5 Decidability and Algorithmic Approaches

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Chapter 4: The T(O)RMCA Tool
4.1 Overview of T(O)RMCA Architecture
4.2 Components of the Tool
4.3 Core Algorithms Implemented in T(O)RMCA
4.4 Input and Output Formats
4.5 Integration with Other Formal Verification Tools
4.6 User Interface and Usability

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Chapter 5: Features and Capabilities of T(O)RMCA
5.1 Support for (ω)-Regular Properties
5.2 Handling Infinite-State Systems
5.3 Efficient Algorithms for Temporal Logic Checking
5.4 Optimization Techniques in Model Checking
5.5 Error Reporting and Debugging Features

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Chapter 6: Practical Application and Case Studies
6.1 Model Checking Temporal Properties in Real-World Systems
6.2 Case Study 1: Verification of Infinite-State Systems
6.3 Case Study 2: Verification of (ω)-Regular Properties in Concurrent Systems
6.4 Real-Time Systems and (ω)-Regular Verification
6.5 Experimental Results and Performance Evaluation

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Chapter 7: Performance and Scalability
7.1 Scalability of the T(O)RMCA Tool
7.2 Benchmarking Against Other Model Checking Tools
7.3 Memory and Time Complexity Analysis
7.4 Parallelization and Distributed Model Checking
7.5 Strategies for Handling Large-Scale Systems

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Chapter 8: Challenges and Limitations
8.1 Challenges in (ω)-Regular Model Checking
8.2 Handling Complex Temporal Properties
8.3 Limitations of the T(O)RMCA Tool
8.4 Accuracy and Precision Issues in Infinite-State Systems
8.5 Trade-offs Between Efficiency and Completeness

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Chapter 9: Open Problems and Future Directions
9.1 Open Problems in (ω)-Regular Model Checking
9.2 Improving the Efficiency of Model Checking Algorithms
9.3 Integration with Other Verification Techniques (e.g., Abstract Interpretation)
9.4 Future Features for the T(O)RMCA Tool
9.5 Directions for Future Research in Formal Verification

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Chapter 10: Conclusion
10.1 Summary of Contributions
10.2 Impact of T(O)RMCA on Model Checking Practices
10.3 Key Insights from the Tool’s Evaluation
10.4 Concluding Remarks on (ω)-Regular Model Checking

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