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Formal Modeling and Analysis of Timed Systems

Overview of attention for book
Cover of 'Formal Modeling and Analysis of Timed Systems'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 The Modeling and Analysis of Mixed-Criticality Systems
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    Chapter 2 Modeling Bitcoin Contracts by Timed Automata
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    Chapter 3 Data-Driven Statistical Learning of Temporal Logic Properties
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    Chapter 4 Finding Best and Worst Case Execution Times of Systems Using Difference-Bound Matrices
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    Chapter 5 Delay-Dependent Partial Order Reduction Technique for Time Petri Nets
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    Chapter 6 On MITL and Alternating Timed Automata over Infinite Words
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    Chapter 7 Time Petri Nets with Dynamic Firing Dates: Semantics and Applications
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    Chapter 8 Verification and Performance Evaluation of Timed Game Strategies
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    Chapter 9 The Power of Proofs: New Algorithms for Timed Automata Model Checking
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    Chapter 10 Anonymized Reachability of Hybrid Automata Networks
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    Chapter 11 Combined Global and Local Search for the Falsification of Hybrid Systems
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    Chapter 12 Weak Singular Hybrid Automata
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    Chapter 13 Non-convex Invariants and Urgency Conditions on Linear Hybrid Automata
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    Chapter 14 Time-Bounded Reachability for Initialized Hybrid Automata with Linear Differential Inclusions and Rectangular Constraints
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    Chapter 15 Virtual Integration of Real-Time Systems Based on Resource Segregation Abstraction
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    Chapter 16 Timed Pattern Matching
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    Chapter 17 Interval Abstraction Refinement for Model Checking of Timed-Arc Petri Nets
Attention for Chapter 7: Time Petri Nets with Dynamic Firing Dates: Semantics and Applications
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  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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Chapter title
Time Petri Nets with Dynamic Firing Dates: Semantics and Applications
Chapter number 7
Book title
Formal Modeling and Analysis of Timed Systems
Published in
arXiv, September 2014
DOI 10.1007/978-3-319-10512-3_7
Book ISBNs
978-3-31-910511-6, 978-3-31-910512-3
Authors

Bernard Berthomieu, Silvano Dal Zilio, Łukasz Fronc, François Vernadat, Lukasz Fronc, Berthomieu, Bernard, Dal Zilio, Silvano, Fronc, Łukasz, Vernadat, François

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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Researcher 1 33%
Unknown 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 12 February 2015.
All research outputs
#14,668,583
of 22,780,967 outputs
Outputs from arXiv
#318,531
of 935,440 outputs
Outputs of similar age
#129,306
of 238,617 outputs
Outputs of similar age from arXiv
#1,749
of 9,959 outputs
Altmetric has tracked 22,780,967 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 935,440 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 65% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 238,617 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9,959 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.