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Leveraging Applications of Formal Methods, Verification and Validation: Engineering Principles

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Table of Contents

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    Book Overview
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    Chapter 1 Automating Software Re-engineering
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    Chapter 2 Formal Verification of Developer Tests: A Research Agenda Inspired by Mutation Testing
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    Chapter 3 Modular Regression Verification for Reactive Systems
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    Chapter 4 Finding Idioms in Source Code Using Subtree Counting Techniques
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    Chapter 5 Parametric Timed Bisimulation
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    Chapter 6 A Unifying Framework for Dynamic Monitoring and a Taxonomy of Optimizations
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    Chapter 7 Thirty-Seven Years of Relational Hoare Logic: Remarks on Its Principles and History
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    Chapter 8 Safer Parallelization
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    Chapter 9 Refactoring and Active Object Languages
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    Chapter 10 Rigorous Engineering of Collective Adaptive Systems Introduction to the 3rd Track Edition
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    Chapter 11 Composition of Component Models - A Key to Construct Big Systems
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    Chapter 12 Degrees of Autonomy in Coordinating Collectives of Self-Driving Vehicles
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    Chapter 13 Engineering Semantic Self-composition of Services Through Tuple-Based Coordination
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    Chapter 14 A Dynamic Logic for Systems with Predicate-Based Communication
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    Chapter 15 Abstractions for Collective Adaptive Systems
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    Chapter 16 Verifying AbC Specifications via Emulation
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    Chapter 17 Adaptive Security Policies
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    Chapter 18 Capturing Dynamicity and Uncertainty in Security and Trust via Situational Patterns
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    Chapter 19 Guaranteeing Type Consistency in Collective Adaptive Systems
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    Chapter 20 Epistemic Logic in Ensemble Specification
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    Chapter 21 FScaFi : A Core Calculus for Collective Adaptive Systems Programming
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    Chapter 22 Writing Robotics Applications with X-Klaim
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    Chapter 23 Measuring Adaptability and Reliability of Large Scale Systems
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    Chapter 24 Centrality-Preserving Exact Reductions of Multi-Layer Networks
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    Chapter 25 Towards Dynamic Dependable Systems Through Evidence-Based Continuous Certification
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    Chapter 26 Forming Ensembles at Runtime: A Machine Learning Approach
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    Chapter 27 Synthesizing Control for a System with Black Box Environment, Based on Deep Learning
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    Chapter 28 A Formal Model for Reasoning About the Ideal Fitness in Evolutionary Processes
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    Chapter 29 A Case Study of Policy Synthesis for Swarm Robotics
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    Chapter 30 Maple-Swarm: Programming Collective Behavior for Ensembles by Extending HTN-Planning
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    Chapter 31 Swarm and Collective Capabilities for Multipotent Robot Ensembles
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Title
Leveraging Applications of Formal Methods, Verification and Validation: Engineering Principles
Published by
Springer International Publishing, November 2020
DOI 10.1007/978-3-030-61470-6
ISBNs
978-3-03-061469-0, 978-3-03-061470-6
Editors

Margaria, Tiziana, Steffen, Bernhard

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