Analysing Mode Confusion An Approach Using FDR2 1st Edition by Bettina Buth ISBN 9783540301387

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ISBN 10: 
ISBN 13: 9783540301387
Author: Bettina Buth

Mode confusion situations or more general automation surprises can arise in the context of sophisticated control systems which require the interaction with human operators as for example flight monitoring systems in airplanes. A “mode” is defined by a subset of system variables the values of which determine distinguishable forms of system behaviour. Critical situations can arise if the operator interacts with the system assuming a wrong mode. The identification and analysis of such situations needs to take into account both the system design and the operators mental model of the system. Recent research showed that model-checking techniques are useful for identifying mode-confusion situations. Two different approaches can be found: the first tries to identify mode confusion potential in system design, the second analyses actual mode confusion situations to identify the discrepancies between the mental model of operators and the system design. This paper reports an experiment in using the model-checker FDR2 for comparing system and mental models based on CSP refinement. In contrast to earlier attempts using model-checkers for this task, this approach allows a direct comparison of the two models which can be easily derived from a rule-based description.

Analysing Mode Confusion: An Approach Using FDR2 1st Table of contents:

• Introduction

  • 1.1 Overview of Mode Confusion in Formal Verification
  • 1.2 Importance of Correct System Behavior and Mode Analysis
  • 1.3 The Role of FDR2 in Model Checking
  • 1.4 Objectives and Scope of the Study
  • 1.5 Structure of the Paper/Book

• Background and Fundamentals

  • 2.1 Formal Methods in Software Engineering
  • 2.2 Communicating Sequential Processes (CSP) Overview
  • 2.3 Understanding Mode Confusion and Its Impact on System Design
  • 2.4 Failures-Divergence Refinement (FDR2) Tool: Capabilities and Uses
  • 2.5 Prior Research on Mode Confusion and Model Checking

• Mode Confusion in Complex Systems

  • 3.1 Defining Mode Confusion in the Context of Embedded and Distributed Systems
  • 3.2 Examples of Mode Confusion in Real-World Systems
  • 3.3 The Consequences of Mode Confusion in Critical Systems
  • 3.4 Detecting Mode Confusion: Challenges and Techniques

• The FDR2 Model Checker

  • 4.1 Introduction to FDR2 and Its Role in Formal Verification
  • 4.2 Theoretical Foundations of FDR2: Failures-Divergence Refinement
  • 4.3 Modeling Systems Using CSP in FDR2
  • 4.4 Key Features and Functions of FDR2
  • 4.5 Integrating FDR2 with Other Formal Verification Tools

• Approach to Analyzing Mode Confusion Using FDR2

  • 5.1 Framework for Detecting Mode Confusion with FDR2
  • 5.2 Model Representation of Modes and Transitions in FDR2
  • 5.3 Analyzing State Transitions and Mode Switching
  • 5.4 Techniques for Verifying Mode Consistency Using FDR2
  • 5.5 Handling Non-Deterministic Behavior in Mode Analysis

• Case Studies and Applications

  • 6.1 Case Study 1: Mode Confusion in an Automotive System
  • 6.2 Case Study 2: Verifying Mode Consistency in Industrial Automation
  • 6.3 Case Study 3: Mode Confusion in Safety-Critical Software
  • 6.4 Using FDR2 to Analyze Mode Confusion in Distributed Systems

• Tools and Techniques for Mode Confusion Detection

  • 7.1 FDR2 Configuration for Mode Confusion Analysis
  • 7.2 Combining FDR2 with Static Analysis and Runtime Monitoring
  • 7.3 Visualization Techniques for Mode Confusion Detection
  • 7.4 Challenges in Scaling FDR2 for Large-Scale Systems

• Challenges and Limitations

  • 8.1 Scalability Issues in FDR2 for Complex Systems
  • 8.2 Handling Real-Time and Timing Constraints in Mode Analysis
  • 8.3 Addressing Ambiguities and Incompleteness in Mode Modeling
  • 8.4 Potential Limitations of FDR2 in Mode Confusion Detection

• Future Directions in Mode Confusion Analysis

  • 9.1 Advancements in Formal Verification Tools for Mode Analysis
  • 9.2 Machine Learning Approaches for Detecting Mode Confusion
  • 9.3 Hybrid Verification Approaches Combining FDR2 with Other Techniques
  • 9.4 Research Opportunities in Mode Confusion and Verification

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