16th NASA Formal Methods Symposium June 4-6

The NASA Formal Methods Symposium (NFM) is an annual forum to foster collaboration between theoreticians and practitioners from NASA, other government agencies, academia, and industry.

Updates

FAQ page available for your questions (12/5/23)

Submission Deadlines Extended (12/1/23)

  • Abstract Submission: December 8
  • Full Paper Submission: December 15

Updated CFP with NFM Policy on use of Generative AI (10/30/23)

NFM prohibits the use of generative AI to create the textual narrative of the paper. However, the use of generative AI to create examples (such as text, tables, graphics, and code) that support the paper is permitted, but this must be disclosed in the paper. Basic word processing systems that recommend and insert replacement text, perform spelling or grammar checks and corrections, or systems that do language translations need not be disclosed in the paper.

CFP PDF Download Call for Papers PDF

Highlights

Supporters

Call for Papers

CFP PDF Download Call for Papers PDF

Theme of the Symposium

The widespread use and increasing complexity of mission-critical and safety-critical systems at NASA and in the aerospace industry requires advanced technologies to address their specification, design, verification, validation, and certification processes. For example, there is an increasing need for autonomous systems in deep space missions including NASA’s Moon to Mars exploration plans. The NASA Formal Methods Symposium is a forum to foster collaboration between theoreticians and practitioners from NASA, other government agencies, academia, and industry, with the goal of identifying challenges and providing solutions towards achieving assurance for such critical systems. The focus of this symposium is on formal techniques for software and system assurance for applications in space, aviation, robotics, and other NASA-relevant safety-critical systems. This year’s symposium extends the focus to safety assurance of machine learning enabled autonomous systems, formal methods for digital transformation, and accessibility for new industries.

Topics of Interest

Advances in Formal Methods

  • Formal verification, model checking, and static analysis
  • Interactive and automated theorem proving
  • Program and specification synthesis, code transformation and generation
  • Run-time verification and test case generation
  • Techniques and algorithms for scaling formal methods
  • Design for verification and correct-by-design techniques
  • Requirements generation, specification, and validation

Integration of Formal Methods

  • Use of machine learning techniques in formal methods
  • Integration of formal methods and software engineering
  • Integration of diverse formal methods techniques
  • Combination of formal methods with simulation and analysis techniques

Formal Methods in Practice

  • Experience reports of application of formal methods in industry
  • Use of formal methods in education
  • Applications of formal methods in:
    • concurrent and distributed systems
    • fault-detection, diagnostics, and prognostics systems
    • human-machine interaction analysis

Safety Assurance of Autonomous Systems

  • Verification of machine learning (ML) enabled systems
  • Runtime monitoring or model checking to ensure safe operation
  • Formal specifications and modeling of ML enabled systems
  • Case-studies/experience reports exploring the application of formal methods in autonomous safety-critical, cyber-physical and hybrid systems
  • Using formal evidence for certification of ML enabled systems

Formal Methods for Digital Transformation

  • Applications related to Digital Twin & Digital Thread
  • Verification for integrated design and manufacturing
  • AI digital assistants for system design
  • Runtime monitoring for Smart Campus & Smart Cities

Accessibility of Formal Methods for New Industries

  • “New Space” markets
  • Advanced Air Mobility and Startup Aviation
  • Formal Methods as a Service

Submissions

There are two categories of submissions:

  • Regular Papers (15 pages including references), describing fully developed work and complete results
  • Short Papers (6 pages including references), in one of the categories below:
    • Tool papers describing novel and publicly available tools
    • Case studies detailing applications of formal methods
    • New emerging ideas in the topics of interest

All papers should be in English and describe original work that has not been published or submitted elsewhere. NFM24 will be a hybrid conference. Authors of accepted papers are encouraged to present their work in person at the conference.

There will be a tool demonstration session at the conference, where tool developers get to showcase their tools interactively with the attendees. All tool papers, under the short papers category, are required to participate in the tool demonstration session. Authors of regular papers are also welcome to participate in the tool demonstration session to showcase their application.

All submitters who are interested in participating in the tool demonstration session must include an additional appendix (maximum 4 pages and will not appear in the proceedings) containing the description of the proposed demo and the URL to a screencast demonstrating the tool. Authors of all accepted papers additionally have an opportunity to present a poster.

NFM prohibits the use of generative AI to create the textual narrative of the paper. However, the use of generative AI to create examples (such as text, tables, graphics, and code) that support the paper is permitted, but this must be disclosed in the paper. Basic word processing systems that recommend and insert replacement text, perform spelling or grammar checks and corrections, or systems that do language translations need not be disclosed in the paper.

All submissions will be fully reviewed by members of the Program Committee. Accepted regular and short papers will be published in the Formal Methods subline of Springer’s Lecture Notes in Computer Science (LNCS) and must use LNCS style formatting described on https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines. Papers must be submitted in PDF format at the EasyChair submission site, https://easychair.org/conferences/?conf=nfm2024.

Location and Cost

The symposium will take place at the NASA Ames Conference Center, Moffett Field, California, USA.

There will be no registration fee charged to participants. All interested individuals, including non-US citizens, are welcome to attend, listen to the talks, and participate in discussions. However, all attendees must register.

About submitting a tool paper under the short paper category


What are the submission requirements?

All tool papers, under the short paper category, must include an additional appendix (maximum 4 pages and will not appear in the proceedings) containing the description of the proposed demo and the URL to a screencast demonstrating the tool.

What is the format of the screencast?

There are no restrictions on the format and length of the screencast. The purpose of the screencast is to help our reviewers understand the tool.

How will NFM24 use the screencast?

Screencast(s) included in a submission will only be used by our program committee during the review process.

What are the presentation requirements?

All tool papers, under the short papers category, are required to participate in the tool demonstration session. Depending on our program schedule, we might invite each presenter to give a 5-minute lightning presentation in the main session.

What is the format of the tool demonstration session?

The tool demonstration session will be held in a showroom, where each presenter will have a kiosk and, depending on availability, an external monitor, for their demonstration along with other presenters at the same time. Presenters will be demonstrating their tools while interacting with the attendees during the session.



Still can’t find what you’re looking for? Contact us!

The online proceedings for NFM 2024 are will be published in the Formal Methods subline of Springer’s Lecture Notes in Computer Science (LNCS).

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Results (60)

B
Badger, Julia
NASA
Benz, Nathan
NASA Ames Research Center
Benz, Nathaniel
Brat, Guillaume P.
NASA Ames Research Center
Bultan, Tevfik
University of California at Santa BarbaraUnited States
C
Calinescu, Radu
University of York, UKUnited Kingdom
Cannon, Wyatt
NASA Ames Research Center / KBR
Cheng, Chih-Hong
Fraunhofer IKS & University of HildesheimGermany
Cofer, Darren
Collins AerospaceUnited States
D
Davies, Misty
NASA
Denney, Ewen
NASA Ames Research CenterUnited States
Dong, Jin Song
National University of SingaporeSingapore
Dutle, Aaron
NASA Langley Research CenterUnited States
F
Farrell, Marie
The University of ManchesterUnited Kingdom
Filieri, Antonio
AWS and Imperial College LondonUnited States
G
Getir Yaman, Sinem
University of York, UKUnited Kingdom
Goodloe, Alwyn
NASA Langley Research Center
Gopinath, Divya
NASA Ames (KBR Inc.)
H
Hagen, George
NASA
Havelund, Klaus
NASA/Caltech Jet Propulsion LaboratoryUnited States
Hine, Butler
NASA Ames Research Center
Hu, Boyue Caroline
University of TorontoCanada
I
Imrie, Calum
University of York
Incer, Inigo
CaltechUnited States
J
Johnson, Taylor T
Vanderbilt UniversityUnited States
K
Katis, Andreas
KBR / NASA Ames Research Center
Khurshid, Sarfraz
University of Texas at AustinUnited States
Kim, Edward
Berkeley
Kiniry, Joe
Galois, Inc.United States
L
Lee, Ritchie
NASA Ames Research Center
Lipkis, Rory
NASA Ames Research Center
Lomuscio, Alessio
Imperial College London
Lowry, Michael R.
NASA Ames Research Center
Lozito, Sandy
NASA Ames Research Center
M
Mangal, Ravi
Carnegie Mellon UniversityUnited States
Marsso, Lina
University of TorontoCanada
Mavridou, Anastasia
KBR / NASA Ames Research Center
Mitra, Sayan
University of Illinois at Urbana-ChampaignUnited States
Mitsch, Stefan
DePaul UniversityUnited States
Munoz, Cesar
NASAUnited States
N
Neogi, Natasha
NASA Langley Research Center
P
Pasareanu, Corina S.
Carnegie Mellon University Silicon Valley, NASA Ames Research Center
Perez, Ivan
NASA Ames Research Center
Pike, Lee
Galois
R
Riccobene, Elvinia
Computer Science Dept., University of MilanItaly
Rozier, Kristin Yvonne
Iowa State University
S
Sankaranarayanan, Sriram
University of Colorado, BoulderUnited States
Schumann, Johann
NASA Ames
Seguin, Christel
ONERA
Shan, Chung-chieh
Indiana UniversityUnited States
Shi, Nija
NASA Ames Research CenterUnited States
Singh, Satnam
GroqUnited States
Sun, Jun
Singapore Management UniversitySingapore
Sun, Youcheng
The University of ManchesterUnited Kingdom
T
Torfah, Hazem
Chalmers University of TechnologySweden
Torngren, Martin
KTH
Troubitsyna, Elena
KTH
W
Westbrook, Edwin
GaloisUnited States
Wu, Haoze
Stanford UniversityUnited States
Y
Yu, Huafeng
DOT
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