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[Ori Lahav <orilahav AT gmail.com>]

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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) *
August 31st, 2023 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