[Om-announce] Final CfP: FM 2023 - 25th International Symposium on Formal Methods

[Violet Ka I Pun]

[apologies for cross-postings]

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Call for Papers
FM 2023: 25th International Symposium on Formal Methods

Lübeck, Germany, March 6-10, 2023
https://fm2023.isp.uni-luebeck.de/ <https://fm2023.isp.uni-luebeck.de/>

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FM 2023 is the 25th international symposium in a series organised by
Formal Methods Europe (FME), an independent association whose aim is to
stimulate the use of, and research on, formal methods for software
development. The FM symposia have been successful in bringing together
researchers and industrial users around a programme of original papers
on research and industrial experience, workshops, tutorials, reports on
tools, projects, and ongoing doctoral research. FM 2023 will be both an
occasion to celebrate and a platform for enthusiastic researchers and
practitioners from a diversity of backgrounds to exchange their ideas
and share their experiences.

=Important Dates=

Abstract submission:     September 4, 2022, 23:59 AoE (firm)
Full paper submission:   September 11, 2022, 23:59 AoE (firm)
Notification:            November 15, 2022
Artefact submission:     November 20, 2022, 23:59 AoE (firm)
Camera ready:            December 11, 2022, 23:59 AoE (firm)
Conference:              March 6-10, 2023

=Topics of Interest=

FM 2023 will highlight the development and application of formal methods
in a wide range of domains including trustworthy AI, software,
computer-based systems, systems-of-systems, cyber-physical systems,
security, human-computer interaction, manufacturing, sustainability,
energy, transport, smart cities, healthcare and biology. We particularly
welcome papers on techniques, tools and experiences in interdisciplinary
settings. We also welcome papers on experiences of applying formal methods 
in industrial settings, and on the design and validation of formal method 
tools.

The topics of interest for FM 2023 include, but are not limited to:

Interdisciplinary formal methods: Techniques, tools and experiences
demonstrating the use of formal methods in interdisciplinary settings.
Formal methods in practice: Industrial applications of formal methods,
experience with formal methods in industry, tool usage reports,
experiments with challenge problems. The authors are encouraged to
explain how formal methods overcame problems, led to improved designs,
or provided new insights.

Tools for formal methods: Advances in automated verification, model
checking, and testing with formal methods, tools integration,
environments for formal methods, and experimental validation of tools.
The authors are encouraged to demonstrate empirically that the new tool
or environment advances the state of the art.

Formal methods in software and systems engineering: Development
processes with formal methods, usage guidelines for formal methods, and
method integration. The authors are encouraged to evaluate process
innovations with respect to qualitative or quantitative improvements.
Empirical studies and evaluations are also solicited.

Theoretical foundations of formal methods: All aspects of theory related
to specification, verification, refinement, and static and dynamic
analysis. The authors are encouraged to explain how their results
contribute to the solution of practical problems with formal methods or
tools.

We explicitly welcome submissions to the special FM 2023 session on 
"Formal methods meets AI", which is focused on formal and rigorous 
modelling and analysis techniques to ensuring safety, robustness etc. 
(trustworthiness) of AI-based systems.

=Submission Guidelines=

Papers should be original work, not published or submitted elsewhere, in
Springer LNCS format, written in English, submitted through EasyChair:

         https://easychair.org/conferences/?conf=fm2023 <https://easychair.org/conferences/?conf=fm2023>

Each paper will be evaluated by at least three PC members. Authors of 
papers reporting experimental work are strongly encouraged to make their 
experimental results available for use by the reviewers. Case study papers 
should describe significant case studies, and the complete development 
should be made available at the time of review. The usual criteria for 
novelty, reproducibility, correctness and the ability for others to build 
upon the described work apply. Tool papers and tool demonstration papers 
should explain enhancements made compared to previously published work. 
A tool demonstration paper need not present the theory behind the tool, 
but can focus on the tool’s features, how it is used, its evaluation, and
examples and screenshots illustrating the tool’s use. Authors of tool
and tool demonstration papers should make their tool available for use
by the reviewers and are highly encouraged to participate in the artefact
evaluation once their paper is accepted.

We solicit various categories of papers:

Regular Papers (max 15 pages)
Long tool papers (max 15 pages)
Case study papers (max 15 pages)
Short papers (max 6 pages), including tool demonstration papers.

Short papers present novel ideas (e.g., without an extensive experimental 
evaluation) or results that can well be presented in 6 pages. Short papers 
will be given short presentation slots at the conference.

All page limits do *not* include references and appendices.

For all papers, an appendix can provide additional material such as
details on proofs or experiments. The appendix is not part of the page
count and is not guaranteed to be read or taken into account by the
reviewers. Thus, it should not contain information necessary for the
understanding and the evaluation of the presented work. Papers will be
accepted or rejected in the category in which they were submitted and
will not be moved between categories.

At least one author of an accepted paper is expected to present the
paper at the conference as a registered participant.

=Double Blind Review Process=

FM 2023 will employ a double-blind review process except for (a) long 
tool papers and (b) short tool demonstration papers. Other short papers 
will be subject to a double-blind policy.

The papers submitted must not reveal the authors’ identities in any way:
(a) Authors should leave out author names and affiliations from the body 
of their submission.
(b) Authors should ensure that any citation to related work by themselves 
is written in third person, that is, “the prior work of XYZ” as opposed 
to “our prior work”.
(c) Authors should not include URLs to author-revealing sites (tools, 
datasets).
(e) You are encouraged to submit a link to a Web site or repository 
containing supplementary material (raw data, datasets, experiments, etc.), 
as long as it is blinded. The visit of such sites should not be needed 
to conduct the review. The PC will not necessarily consider it in the 
paper review process. For more information, please read 

How to disclose data for double-blind review and make it archived open data upon acceptance <https://ineed.coffee/post/how-to-disclose-data-for-double-blind-review-and-make-it-archived-open-data-upon-acceptance>. 

As an alternative to having an external link, the submission form provides 
an option to attach a replication package.
(f) Authors should anonymize author-revealing company names but instead 
provide general characteristics of the organizations involved needed to 
understand the context of the paper.
(g) Authors should ensure that paper acknowledgements do not reveal the 
origin of their work.

The double-blind process is “heavy”, i.e., the paper anonymity will be 
maintained during the reviewers’ discussion period. Authors with further 
questions on double-blind reviewing are encouraged to contact the PC 
chairs by email. Papers that do not comply with the double-blind review 
process will be desk-rejected.

To prevent double submissions, the chairs might compare the submissions 
with related conferences that have overlapping review periods. The double 
submission restriction applies only to refereed journals and conferences, 
not to unrefereed forums (e.g. arXiv.org <http://arxiv.org/>). To check for plagiarism issues, 
the chairs might use external plagiarism detection software.

To facilitate double-blind reviewing, we advise the authors to postpone 
publishing their submitted work on arXiv or similar sites until after the 
notification of acceptance. However, if the authors have already published 
a version of their paper to arXiv or similar sites, we request authors to 
use a different title for their submission, so that author names are not 
inadvertently disclosed, e.g., via a notification on Google Scholar.

=Best Paper Award=

At the conference, the PC Chairs will present an award to the authors of
the submission selected as the FM 2023 Best Paper.

=Publication=

Accepted papers will be published in the Symposium Proceedings to appear
in Springer’s Lecture Notes in Computer Science. Extended versions of selected 
papers will be invited for publication in a special issue of a journal.

=General Chair=

Martin Leucker, University of Lübeck, Germany

=Program Committee Chairs=

Marsha Chechik, University of Toronto, CA
Joost-Pieter Katoen, RWTH Aachen University, DE
                   & University of Twente, NL

=Program Committee=

Dalal Alrajeh, Imperial College, UK
Luis Soares Barbosa, University of Minho, PT
Ezio Bartocci, TU Vienna, AT
Nikolaj Bjørner, Microsoft, US
Sandrine Blazy, University of Rennes, FR
Borzoo Bonakdarpour, Michigan State University, US 
Pablo Castro, University of Rio Cuarto, AR
Ana Cavalcanti, University of York, UK
Milan Česka, Brno University of Technology, CZ
Nancy Day, University of Waterloo, CA
Benrd Fischer, Stellenbosch University, ZA
Arie Gurfinkel, University of Waterloo, CA
Reiner Hähnle, TU Darmstadt, DE
Ichiro Hasuo, National Institute of Informatics, JP
Keijo Heljanko, University of Helsinki, FI
Holger Hermanns, Saarland University, DE
Peter Höfner, Australian National University, AU
Marieke Huisman, University of Twente, NL
Adrian Francalanza, University of Malta, MT
Einar Broch Johnsen, University of Oslo, NO
Sebastian Junges, Radboud University, NL
Martin Leucker, University of Lübeck, DE
Yi Li, Nanyang Technological University, SG 
Lei Ma, University of Alberta, CA
Mieke Massink, CNR-ISTI, IT
Christoph Matheja, Technical University of Denmark, DK
Annabelle McIver, Macquarie University, AU
Claudio Menghi, McMaster University, CA
Jan Peleska, University of Bremen, DE
Andre Platzer, Carnegie Mellon University, USA
Jan-Oliver Ringert, Bauhaus University Weimar, DE
Baishakhi Ray, Columbia University, US
Christina Seceleanu, Malardalen University, SE
Marjan Sirjani, Malardalen University, SE
Paola Spoletini, Kennesaw State University, US
Jun Sun, Singapore University, SG
Emilio Tuosto, Gran Sasso Science Institute, IT
Matthias Volk, University of Twente (AE Chair), NL
Ou Wei, Thales, CA
Mike Whalen, Amazon Web Services, US
Mingsheng Ying, University of Technology Sydney, AU
Naijun Zhan, Chinese Academy of Sciences, CN

--
Violet Ka I Pun / http://violet.foldr.org/ <http://violet.foldr.org/>
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