Conference Information
ICFEM 2024: International Conference on Formal Engineering Methods
https://icfem2024.info/
Submission Date:
2024-06-24
Notification Date:
2024-09-09
Conference Date:
2024-12-02
Location:
Hiroshima, Japan
Years:
25
CCF: c   QUALIS: b1   Viewed: 28602   Tracked: 34   Attend: 5

Call For Papers
Since it was started in Hiroshima, Japan in 1997, ICFEM has provided a forum for both researchers and practitioners to discuss and exchange their experience and results in research on theories, methods, languages, and supporting tools for integrating formal methods into conventional software engineering technologies to provide more effective and efficient approaches to large-scale software engineering. The goal of this conference is to bring together industrial, academic, and government experts in both formal methods and software engineering to help advance the state of the art.

At its first return to Hiroshima since 1997, ICFEM 2024 will celebrate the 25th anniversary of the ICFEM conference series. Researchers, practitioners, tool developers, and users are all welcome to submit papers and participate in the conference. We look forward to your contributions and participation. 

Scope and Topics

Authors are invited to submit high quality technical papers describing original and unpublished work in all aspects of formal engineering methods for software development and maintenance. Topics of interest include, but are not limited to:

    Formal specification and modeling
    Formal approaches to fault prevention and detection
    Abstraction, refinement, and evolution
    Formal verification and validation
    Integration of formal methods and testing
    Integration of formal methods and review
    SAT/SMT solvers for software analysis and testing
    Practical formal methods
    Applications of formal methods
    Formal approaches to software maintenance
    Formal approaches to safety-critical system development
    Supporting tools for formal methods
    Formal methods for agile development
    Formal methods for human-machine pair programming
    Formal methods for AI Systems
    Formal methods for Cyber-physical systems and IoT
    Formal certification of products
    Industrial case studies
Last updated by Dou Sun in 2024-03-24
Acceptance Ratio
YearSubmittedAcceptedAccepted(%)
20091213629.8%
2007381950%
20061083835.2%
2005743040.5%
20041103027.3%
2003913437.4%
20021085954.6%
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