Conference Information
NFM 2023: NASA Formal Methods Symposium
https://conf.researchr.org/home/nfm-2023
Submission Date:
2022-12-09
Notification Date:
2023-02-20
Conference Date:
2023-05-16
Location:
Houston, Texas, USA
Years:
15
Viewed: 12936   Tracked: 3   Attend: 0

Call For Papers
We encourage submissions on cross-cutting approaches that bring together formal methods and techniques from other domains such as probabilistic reasoning, machine learning, control theory, robotics, and quantum computing among others.

    Formal verification, including theorem proving, model checking, and static analysis
    Advances in automated theorem proving including SAT and SMT solving
    Use of formal methods in software and system testing
    Run-time verification
    Techniques and algorithms for scaling formal methods, such as abstraction and symbolic methods, compositional techniques, as well as parallel and/or distributed techniques
    Code generation from formally verified models
    Safety cases and system safety
    Formal approaches to fault tolerance
    Theoretical advances and empirical evaluations of formal methods techniques for safety-critical systems, including hybrid and embedded systems
    Formal methods in systems engineering and model-based development
    Correct-by-design controller synthesis
    Formal assurance methods to handle adaptive systems
Last updated by Dou Sun in 2022-10-04
Related Conferences
Related Journals
CCFFull NameImpact FactorPublisherISSN
cACM Transactions on Cyber-Physical Systems2.000ACM2378-962X
Mathematical Methods of Operations Research0.900Springer1432-2994
Forensic Science International: Digital Investigation2.000Elsevier2666-2825
IEEE Electrification Magazine3.400IEEE2325-5897
Computer Law & Security Review3.300Elsevier0267-3649
IEICE Transactions on Communications IEICE
bBriefings in Bioinformatics6.800Oxford University Press1477-4054
Electronics2.600MDPI2079-9292
bJournal of the American Society for Information Science and Technology2.800John Wiley & Sons, Ltd.1532-2890
Computational Statistics & Data Analysis1.500Elsevier0167-9473
Recommendation