Conference Information

NFM 2023: NASA Formal Methods Symposium

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Submission Date:
2022-12-09
Notification Date:
2023-02-20
Conference Date:
2023-05-16
Location:
Houston, Texas, USA
Years:
15
Viewed: 20234   Tracked: 3   Attend: 0

Conference Partner Index (CP-I)

48.3 / 100
Ranked #2,008 of 5,693 conferences · Top 36%

#138 of 247 in Software Engineering

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
75
Community attention (10%)
22
Public record completeness (15%)
25

Inputs used: Editions on record: 15 · Researchers following it here: 3 · Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-10-03

Call For Papers

NFM 2023 (NASA Formal Methods Symposium) is an academic conference held in Houston, Texas, USA on 2023-05-16. The paper submission deadline is 2022-12-09. Acceptance notifications are sent on 2023-02-20.

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
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