Conference Information
ATVA 2022: International Symposium on Automated Technology for Verification and Analysis
https://atva-conference.org/2022/
Submission Date:
2022-05-01
Notification Date:
2022-06-24
Conference Date:
2022-10-25
Location:
Beijing, China
Years:
20
CCF: c   CORE: a   QUALIS: b1   Viewed: 23080   Tracked: 41   Attend: 11

Call For Papers
The 20th International Symposium on Automated Technology for Verification and Analysis (ATVA 2022), 25 – 28 Oct 2022, Beijing, China. If the pandemic means that travelling is still an issue in October, we might change the plan and host the conference online.

ATVA 2022 is the 20th in a series of symposia aimed at bringing together academics, industrial researchers and practitioners in the area of theoretical and practical aspects of automated analysis, synthesis, and verification of hardware, software, and machine learning (ML) systems.

Scope

ATVA solicits high-quality submissions in the following suggestive list of topics:

    Formalisms for modeling hardware, software and cyber-physical systems
    Specifications and correctness criteria for programs and systems
    Decision procedures and solvers for verification and synthesis
    Deductive, algorithmic, compositional, and abstraction/refinement techniques for analysis and verification
    Program analysis and software verification
    Analysis and verification of hardware circuits and systems-on-chip
    Analysis and verification of parallel and concurrent systems
    Analysis of probabilistic and cyber-physical systems
    Analysis and verification of machine learning algorithms and systems
    Formal models and methods for security and privacy
    Formal models and methods for biological systems
    Testing and runtime analysis based on verification technology
    Synthesis for hardware and software systems
    Applications and case studies
    Verification in industrial practice
Last updated by Dou Sun in 2022-02-27
Acceptance Ratio
YearSubmittedAcceptedAccepted(%)
2007883640.9%
20061373525.5%
2005953334.7%
2004692434.8%
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