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QEST 2022 : QEST 2022: International Conference on Quantitative Evaluation of SysTems


Conference Series : Quantitative Evaluation of Systems
When Sep 12, 2022 - Sep 16, 2022
Where Warsaw, Poland
Abstract Registration Due Apr 18, 2022
Submission Deadline Apr 25, 2022
Notification Due Jun 20, 2022
Categories    verification   stochastic models   performance   computer systems and networks

Call For Papers

QEST 2022
International Conference on Quantitative Evaluation of SysTems

September 12-16th, 2022
Co-located at CONFEST (Warsaw) with CONCUR, FORMATS, FMICS

Abstract Submission: April 18th, 2022
Paper Submission: April 25th, 2022
Artifact Submission: May 2nd, 2022
Notifications: June 20th, 2022
Camera-ready: July 18th, 2022
Conference: September 12-16th, 2022

Keynote Speakers

- Jane Hillston, University of Edinburgh, UK
- Marta Kwiatkowska, University of Oxford, UK

Scope and Topics

The International Conference on Quantitative Evaluation of SysTems (QEST) is
the leading forum on quantitative evaluation and verification of computer
systems and networks. QEST 2022 is the 19th conference in the series.

Scientific areas of interest include:
- Quantitative specification methods.
- Stochastic and non-deterministic models and metrics for performance,
reliability, safety, correctness, and security.
- New algorithms for the analysis or simulation of stochastic, probabilistic
and non-deterministic models.
- As a recent emphasis: application of data-driven, machine learning
techniques for the quantitative evaluation and verification of systems, in
particular for safety-critical applications (learning for safety, as well
as safe learning).
- Case studies that highlight the role of quantitative specification,
modelling and evaluation in the design of systems. Systems of interest
include computer hardware and software architectures, communication systems,
cyber-physical systems, infrastructural systems, security systems and
biological systems.
- Papers that describe novel tools to support the practical application of
research results in all of the above areas are also welcome.

QEST 2022 will set up a repeatability/artifact evaluation process
(details below).

QEST 2022 is open to both theoretical, experimental and applicative research.
The conference welcomes a diversity of modelling formalisms, programming
languages and methodologies that incorporate quantitative aspects such as
probabilities, temporal properties, rewards and forms of non-determinism.
Papers may advance empirical, simulation and analytic methods, and
industrially-relevant case studies.


QEST 2022 considers three types of papers (authors will be able to specify the
type of the contribution at submission):

To advance the understanding on a topic or issue, or to describe the
development and proposal of new analysis processes and techniques.

To describe a novel application and compare it with previous results.

3. TOOL:
To develop new tools and the formalisms they support, with a focus on the
software architecture and practical implementation and use. Tool papers must
be accompanied by an artifact in the Artifact Evaluation.

Paper submission can be REGULAR and SHORT: regular papers must not exceed
16 pages, excluding references, plus 4 pages for the appendix containing
supporting material. Short papers should preferably be limited to 8 pages,
also excluding references. Regarding TOOL papers, the conference will include
the possibility of a demo session for interaction with the authors.

All submitted papers must be unpublished and not be submitted for publication
elsewhere. Papers should be submitted electronically using EasyChair [2].
Springer encourages authors to include their ORCIDs in their papers. Authors
should consult Springer's authors' guidelines [0] and use Springer's LaTeX
templates [1] for the preparation of their papers.


All accepted papers will be presented and discussed at the conference by one
of the authors. The QEST 2022 proceedings will be published in the Springer
LNCS series and indexed by ISI Web of Science, Scopus, ACM Digital Library,
dblp, Google Scholar. All submitted papers will be evaluated by at least three
reviewers on the basis of their originality, technical quality, scientific or
practical contribution to the state of the art, methodology, clarity, and
adequacy of references.

Artifact Evaluation

Reproducibility of experimental results is crucial to foster an atmosphere of
trustworthy, open, and reusable research. To improve and reward
reproducibility, QEST 2022 includes a dedicated Artifact Evaluation (AE).
Submission of an artifact is mandatory for tool papers (both regular and short),
and optional but encouraged for theoretical/methodological and application
papers where it can support the results presented in the paper. Artifacts will
be reviewed concurrently with the paper review process, and accepted papers with
a successfully evaluated artifact will receive a badge on the title page of
paper in the proceedings.

Detailed guidelines for preparation and submission of artifacts can be found
on the QEST 2022 AE web page at [3]. Exceptions to the submission guidelines
may be granted by the PC chairs in cases where the tool cannot, in any
reasonable way, be run by the AE committee.

Special Issue

A selection of the best full papers will be invited to submit an extended
version of their work to a special issue in the ACM Transactions on Modelling
and Computer Simulation (TOMACS). (Further details will be provided on the


Local Organization (CONFEST):
Piotrek Hofman (University of Warsaw, PL)
Bartek Klin (University of Oxford, UK)
Sławek Lasota (University of Warsaw, PL)

Program Chairs:
Erika Ábrahám (RWTH Aachen University, DE)
Marco Paolieri (Univ. of Southern California, US)

Artifact Evaluation Chairs:
Carlos Budde (University of Trento, IT)
Arnd Hartmanns (University of Twente, NL)

Publicity Chair:
David Safranek (Masaryk University, CZ)

Program Committee:
Alessandro Abate (Oxford University, UK)
Ebru Aydin Gol (Middle East Technical University, TR)
Ezio Bartocci (TU Vienna, AT)
Borzoo Bonakdarpour (Michigan State University, US)
Luca Bortolussi (University of Trieste, IT)
Peter Buchholz (TU Dortmund, DE)
Laura Carnevali (University of Florence, IT)
Giuliano Casale (Imperial College London, UK)
Gianfranco Ciardo (Iowa State University, US)
Liliana Cucu-Grosjean (INRIA Paris, FR)
Pedro D'Argenio (Univ. Nacional de Córdoba, AR)
Carina da Silva (University of Münster, DE)
Susanna Donatelli (University of Turin, IT)
Maryam Elahi (Mount Royal University, CA)
Jean-Michel Fourneau (University of Versailles UVSQ, FR)
Marco Gribaudo (Politecnico of Milan, IT)
András Horváth (University of Turin, IT)
David N. Jansen (Chinese Academy of Sciences, CN)
Nils Jansen (Radboud University, NL)
Sebastian Junges (Radboud University, NL)
Peter Kemper (William & Mary College, US)
William Knottenbelt (Imperial College London, UK)
Jan Křetínský (Technical University of Munich, DE)
Andrea Marin (Università Ca' Foscari Venezia, IT)
Gethin Norman (University of Glasgow, UK)
David Parker (University of Birmingham, UK)
Elizabeth Polgreen (University of Edinburgh, UK)
Anne Remke (University of Muenster, DE)
Sabina Rossi (University Ca’ Foscari Venice, IT)
Gerardo Rubino (INRIA Rennes, FR)
Miklós Telek (Budapest Univ. of Tech. and Economics, HU)
Mirco Tribastone (IMT School for Advanced Studies, IT)
Benny Van Houdt (University of Antwerp, BE)
Verena Wolf (Saarland University, DE)
Katinka Wolter (FU Berlin, DE)
Paolo Zuliani (Newcastle University, UK)


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