Example of Formal Methods in System Design format
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Example of Formal Methods in System Design format Example of Formal Methods in System Design format Example of Formal Methods in System Design format Example of Formal Methods in System Design format Example of Formal Methods in System Design format Example of Formal Methods in System Design format Example of Formal Methods in System Design format Example of Formal Methods in System Design format Example of Formal Methods in System Design format Example of Formal Methods in System Design format Example of Formal Methods in System Design format Example of Formal Methods in System Design format Example of Formal Methods in System Design format Example of Formal Methods in System Design format Example of Formal Methods in System Design format Example of Formal Methods in System Design format Example of Formal Methods in System Design format Example of Formal Methods in System Design format
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open access Open Access

Formal Methods in System Design — Template for authors

Publisher: Springer
Categories Rank Trend in last 3 yrs
Theoretical Computer Science #26 of 120 up up by 16 ranks
Hardware and Architecture #57 of 157 up up by 10 ranks
Software #152 of 389 up up by 22 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 83 Published Papers | 373 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 19/07/2020
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Related Journals

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IEEE

Quality:  
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Quality:  
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open access Open Access

Springer

Quality:  
Good
CiteRatio: 3.5
SJR: 0.371
SNIP: 1.21

Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

A measure of average citations received per peer-reviewed paper published in the journal.

0.673

14% from 2018

Impact factor for Formal Methods in System Design from 2016 - 2019
Year Value
2019 0.673
2018 0.787
2017 0.825
2016 1.0
graph view Graph view
table view Table view

4.5

13% from 2019

CiteRatio for Formal Methods in System Design from 2016 - 2020
Year Value
2020 4.5
2019 4.0
2018 3.0
2017 2.8
2016 4.2
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has decreased by 14% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 13% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

0.334

35% from 2019

SJR for Formal Methods in System Design from 2016 - 2020
Year Value
2020 0.334
2019 0.516
2018 0.308
2017 0.445
2016 0.682
graph view Graph view
table view Table view

1.066

34% from 2019

SNIP for Formal Methods in System Design from 2016 - 2020
Year Value
2020 1.066
2019 1.623
2018 1.04
2017 1.297
2016 1.54
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 35% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 34% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Formal Methods in System Design

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Springer

Formal Methods in System Design

The focus of this journal is on formal methods for designing, implementing, and validating the correctness of hardware (VLSI) and software systems. The stimulus for starting a journal with this goal came from both academia and industry. In both areas, interest in the use of fo...... Read More

Theoretical Computer Science

Hardware and Architecture

Software

Mathematics

i
Last updated on
19 Jul 2020
i
ISSN
0925-9856
i
Impact Factor
High - 1.302
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
SPBASIC
i
Citation Type
Author Year
(Blonder et al, 1982)
i
Bibliography Example
Beenakker CWJ (2006) Specular andreev reflection in graphene. Phys Rev Lett 97(6):067,007, URL 10.1103/PhysRevLett.97.067007

Top papers written in this journal

open accessOpen access Journal Article
Software Engineering with Formal Methods: The Development of a Storm Surge Barrier Control System - Revising Seven Myths of Formal Methods

Abstract:

This paper discusses the use of formal methods in the development of the control system for the Maeslant Kering. The Maeslant Kering is the movable dam which has to protect Rotterdam from floodings while, at (almost) the same time, not restricting ship traffic to the port of Rotterdam. The control system, called BOS, complete... This paper discusses the use of formal methods in the development of the control system for the Maeslant Kering. The Maeslant Kering is the movable dam which has to protect Rotterdam from floodings while, at (almost) the same time, not restricting ship traffic to the port of Rotterdam. The control system, called BOS, completely autonomously decides about closing and opening of the barrier and, when necessary, also performs these tasks without human intervention. BOS is a safety-critical software system of the highest Safety Integrity Level according to IEC 61508. One of the reliability increasing techniques used during its development is formal methods. This paper reports experiences obtained from using formal methods in the development of BOS. These experiences are presented in the context of Hall's famous “Seven Myths of Formal Methods”. read more read less

Topics:

Formal methods (62%)62% related to the paper
41 Citations
Journal Article DOI: 10.1007/S10703-021-00363-7
Reluplex: a calculus for reasoning about deep neural networks
Guy Katz1, Guy Katz2, Clark Barrett1, David L. Dill1, Kyle D. Julian1, Mykel J. Kochenderfer1

Abstract:

Deep neural networks have emerged as a widely used and effective means for tackling complex, real-world problems. However, a major obstacle in applying them to safety-critical systems is the great difficulty in providing formal guarantees about their behavior. We present a novel, scalable, and efficient technique for verifyin... Deep neural networks have emerged as a widely used and effective means for tackling complex, real-world problems. However, a major obstacle in applying them to safety-critical systems is the great difficulty in providing formal guarantees about their behavior. We present a novel, scalable, and efficient technique for verifying properties of deep neural networks (or providing counter-examples). The technique is based on the simplex method, extended to handle the non-convex Rectified Linear Unit (ReLU) activation function, which is a crucial ingredient in many modern neural networks. The verification procedure tackles neural networks as a whole, without making any simplifying assumptions. We evaluated our technique on a prototype deep neural network implementation of the next-generation airborne collision avoidance system for unmanned aircraft (ACAS Xu). Results show that our technique can successfully prove properties of networks that are an order of magnitude larger than the largest networks that could be verified previously. read more read less

Topics:

Artificial neural network (57%)57% related to the paper, Activation function (56%)56% related to the paper
35 Citations
open accessOpen access Journal Article DOI: 10.5555/1519231.1519267
Coverage-guided test generation for continuous and hybrid systems

Abstract:

In this paper, we describe a formal framework for conformance testing of continuous and hybrid systems, using the international standard `Formal Methods in Conformance Testing' FMCT. We propose a n... In this paper, we describe a formal framework for conformance testing of continuous and hybrid systems, using the international standard `Formal Methods in Conformance Testing' FMCT. We propose a n... read more read less

Topics:

Conformance testing (69%)69% related to the paper, Model-based testing (61%)61% related to the paper, Code coverage (58%)58% related to the paper, Hybrid system (54%)54% related to the paper
12 Citations
Journal Article DOI: 10.1007/S10703-020-00353-1
Abstraction and subsumption in modular verification of C programs
Lennart Beringer1, Andrew W. Appel2

Abstract:

Representation predicates enable data abstraction in separation logic, but when the same concrete implementation may need to be abstracted in different ways, one needs a notion of subsumption. We demonstrate function-specification subtyping, analogous to subtyping, with a subsumption rule: if \(\phi \) is a Open image in new ... Representation predicates enable data abstraction in separation logic, but when the same concrete implementation may need to be abstracted in different ways, one needs a notion of subsumption. We demonstrate function-specification subtyping, analogous to subtyping, with a subsumption rule: if \(\phi \) is a Open image in new window of \(\psi \), that is \(\phi <:\psi \), then \(x:\phi \) implies \(x:\psi \), meaning that any function satisfying specification \(\phi \) can be used wherever a function satisfying \(\psi \) is demanded. We extend previous notions of Hoare-logic sub-specification, which already included parameter adaption, to include framing (necessary for separation logic) and impredicative bifunctors (necessary for higher-order functions, i.e. function pointers). We show intersection specifications, with the expected relation to subtyping. We show how this enables compositional modular verification of the functional correctness of C programs, in Coq, with foundational machine-checked proofs of soundness. read more read less

Topics:

Image (category theory) (56%)56% related to the paper
11 Citations
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13. What is Sherpa RoMEO Archiving Policy for Formal Methods in System Design?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for Formal Methods in System Design. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In Formal Methods in System Design?

The 5 most common citation types in order of usage for Formal Methods in System Design are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

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