[Om-announce] VMCAI 2024: Extended Deadline September 7th

[Ori Lahav]

[We apologize for possible cross-posting]

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                CALL FOR PAPERS
 25th International Conference on Verification, Model Checking, and Abstract
                Interpretation
                  VMCAI 2024
               January 15-16, 2024
          https://popl24.sigplan.org/home/VMCAI-2024
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* Call for Papers *
VMCAI 2024 is the 25th International Conference on Verification, Model
Checking, and Abstract Interpretation. The conference will be held on
January 15-16, 2024, in London, UK, co-located with POPL 2024. VMCAI
provides a forum for researchers from the communities of Verification,
Model Checking, and Abstract Interpretation, facilitating interaction,
cross-fertilization, and advancement of hybrid methods that combine these
and related areas.

* Scope *
The program of VMCAI 2024 will consist of refereed research papers as well
as invited talks. Research contributions can report new results as well as
experimental evaluations and comparisons of existing techniques.

Topics include, but are not limited to:
- Program Verification
- Model Checking
- Abstract Interpretation
- Abstract Domains
- Program Synthesis
- Static Analysis
- Type Systems
- Deductive Methods
- Program Logics
- First-Order Theories
- Decision Procedures
- Interpolation
- Horn Clause Solving
- Program Certification
- Separation Logic
- Probabilistic Programming and Analysis
- Error Diagnosis
- Detection of Bugs and Security Vulnerabilities
- Program Transformations
- Hybrid and Cyber-physical Systems
- Concurrent and distributed Systems
- Analysis of numerical properties
- Analysis of smart contracts
- Analysis of neural networks
- Case Studies on all of the above topics

Submissions can address any programming paradigm, including concurrent,
constraint, functional, imperative, logic, and object-oriented programming.

* Important Dates AoE (UTC-12) *
September 7th, 2023 (extended) Paper submission
October 11th, 2023 Notification
October 31st, 2023 Camera-ready

Conference Submission Link
https://easychair.org/my/conference?conf=vmcai2024

* Submissions *
Submissions are required to follow Springer’s LNCS format. The page limit
depends on the paper’s category (see below). In each category, additional
material beyond the page limit may be placed in a clearly marked appendix
to be read at the discretion of the reviewers and to be omitted in the
final version. Formatting style files and further guidelines for formatting
can be found at the Springer website:
https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines.


All accepted papers will be published in Springer’s Lecture Notes in
Computer Science series. Submissions will undergo a single-blind review
process. There will be three categories of papers: regular papers, tool
papers, and case studies. Papers in each category have a different page
limit and will be evaluated differently.

Regular papers clearly identify and justify an advance to the field of
verification, abstract interpretation, or model checking. Where applicable,
they are supported by experimental validation. Regular papers are
restricted to 20 pages in LNCS format, not counting references.

Tool papers present a new tool, a new tool component, or novel extensions
to an existing tool. They should provide a short description of the
theoretical foundations with relevant citations and emphasize the design
and implementation concerns, including software architecture and core data
structures. A regular tool paper should give a clear account of the tool’s
functionality, discuss the tool’s practical capabilities with reference to
the type and size of problems it can handle, describe experience with
realistic case studies, and, where applicable, provide a rigorous
experimental evaluation. Papers that present extensions to existing tools
should clearly focus on the improvements or extensions with respect to
previously published versions of the tool, preferably substantiated by data
on enhancements in terms of resources and capabilities. Authors are
strongly encouraged to make their tools publicly available and submit an
artifact. Tool papers are restricted to 12 pages in LNCS format, not
counting references.

Case studies are expected to describe the use of verification, model
checking, and abstract interpretation techniques in new application domains
or industrial settings. Papers in this category do not necessarily need to
present original research results but are expected to contain novel
applications of formal methods and techniques as well as an evaluation of
these techniques in the chosen application domain. Such papers are
encouraged to discuss the unique challenges of transferring research ideas
to a real-world setting and reflect on any lessons learned from this
technology transfer experience. Case study papers are restricted to 20
pages in LNCS format, not counting references. (Shorter case study papers
are also welcome.)

* Artifacts *
VMCAI 2024 allows authors to submit an artifact along with a paper.
Artifacts are any additional material that substantiates the claims made in
the paper, and ideally makes them fully replicable. Artifacts of interest
include (but are not limited to):
- Software, Tools, or Frameworks
- Data sets
- Test suites
- Machine checkable proofs
- Any combination of them
- Any other artifact described in the paper

Artifact submission is optional. However, we highly encourage all authors
to also submit an artifact. A successfully evaluated artifact can increase
your chance of being accepted since the evaluation result of your artifact
is taken into account during the paper review. The artifact will be
evaluated in parallel with the submission by the artifact evaluation
committee (AEC). The AEC will read the paper and evaluate the artifact on
the following criteria:
- consistency with and replicability of results in the paper,
- completeness,
- documentation, and
- ease of use.
More information will be available on the conference webpage:
https://popl24.sigplan.org/home/VMCAI-2024

* Organizing Committee *
Rayna Dimitrova, CISPA Helmholtz Center for Information Security
Ori Lahav, Tel Aviv University
Sebastian Wolff, New York University
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