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

Overview of attention for book
Cover of 'Leveraging Applications of Formal Methods, Verification and Validation: Engineering Principles'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    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
  27. Altmetric Badge
    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
  32. Altmetric Badge
    Chapter 31 Swarm and Collective Capabilities for Multipotent Robot Ensembles
Attention for Chapter 26: Forming Ensembles at Runtime: A Machine Learning Approach
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Chapter title
Forming Ensembles at Runtime: A Machine Learning Approach
Chapter number 26
Book title
Leveraging Applications of Formal Methods, Verification and Validation: Engineering Principles
Published in
arXiv, October 2020
DOI 10.1007/978-3-030-61470-6_26
Book ISBNs
978-3-03-061469-0, 978-3-03-061470-6
Authors

Tomáš Bureš, Ilias Gerostathopoulos, Petr Hnětynka, Jan Pacovský, Bureš, Tomáš, Gerostathopoulos, Ilias, Hnětynka, Petr, Pacovský, Jan

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 25%
Student > Ph. D. Student 1 25%
Student > Bachelor 1 25%
Unknown 1 25%
Readers by discipline Count As %
Computer Science 2 50%
Social Sciences 1 25%
Unknown 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 May 2021.
All research outputs
#19,594,120
of 24,093,053 outputs
Outputs from arXiv
#580,062
of 1,020,419 outputs
Outputs of similar age
#318,458
of 421,352 outputs
Outputs of similar age from arXiv
#18,085
of 34,124 outputs
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So far Altmetric has tracked 1,020,419 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
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We're also able to compare this research output to 34,124 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.