NFM 2024NASA Formal Methods 2024
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.
Highlights
Events
Title | |
---|---|
Keynote Talk: Butler Hine Keynote NFM 2024 | |
Keynote Talk: Corina PasareanuKeynote NFM 2024 | |
Keynote Talk: Ritchie LeeKeynote NFM 2024 |
Call for Papers
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.
FAQ
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!
Proceedings
The online proceedings for NFM 2024 are will be published in the Formal Methods subline of Springer’s Lecture Notes in Computer Science (LNCS).
Results (60)
Nathan BenzBenz, Nathan NASA Ames Research Center |
Nathaniel BenzBenz, Nathaniel |
Guillaume P. BratBrat, Guillaume P. NASA Ames Research Center |
Tevfik BultanBultan, Tevfik University of California at Santa BarbaraUnited States |
Wyatt CannonCannon, Wyatt NASA Ames Research Center / KBR |
Chih-Hong ChengCheng, Chih-Hong Fraunhofer IKS & University of HildesheimGermany |
Darren CoferCofer, Darren Collins AerospaceUnited States |
Ewen DenneyDenney, Ewen NASA Ames Research CenterUnited States |
Jin Song DongDong, Jin Song National University of SingaporeSingapore |
Aaron DutleDutle, Aaron NASA Langley Research CenterUnited States |
Antonio FilieriFilieri, Antonio AWS and Imperial College LondonUnited States |
Alwyn GoodloeGoodloe, Alwyn NASA Langley Research Center |
Divya GopinathGopinath, Divya NASA Ames (KBR Inc.) |
Klaus HavelundHavelund, Klaus NASA/Caltech Jet Propulsion LaboratoryUnited States |
Butler HineHine, Butler NASA Ames Research Center |
Boyue Caroline HuHu, Boyue Caroline University of TorontoCanada |
Inigo IncerIncer, Inigo CaltechUnited States |
Sarfraz KhurshidKhurshid, Sarfraz University of Texas at AustinUnited States |
Edward KimKim, Edward Berkeley |
Joe KiniryKiniry, Joe Galois, Inc.United States |
Rory LipkisLipkis, Rory NASA Ames Research Center |
Alessio LomuscioLomuscio, Alessio Imperial College London |
Michael R. LowryLowry, Michael R. NASA Ames Research Center |
Sandy LozitoLozito, Sandy NASA Ames Research Center |
Lina MarssoMarsso, Lina University of TorontoCanada |
Anastasia MavridouMavridou, Anastasia KBR / NASA Ames Research Center |
Sayan MitraMitra, Sayan University of Illinois at Urbana-ChampaignUnited States |
Stefan MitschMitsch, Stefan DePaul UniversityUnited States |
Cesar MunozMunoz, Cesar NASAUnited States |
P Corina S. PasareanuPasareanu, Corina S. Carnegie Mellon University Silicon Valley, NASA Ames Research Center |
Ivan PerezPerez, Ivan NASA Ames Research Center |
Lee PikePike, Lee Galois |
Kristin Yvonne RozierRozier, Kristin Yvonne Iowa State University |
Johann SchumannSchumann, Johann NASA Ames |
Christel SeguinSeguin, Christel ONERA |
Chung-chieh ShanShan, Chung-chieh Indiana UniversityUnited States |
Nija ShiShi, Nija NASA Ames Research CenterUnited States |
Satnam SinghSingh, Satnam GroqUnited States |
Jun SunSun, Jun Singapore Management UniversitySingapore |
Youcheng SunSun, Youcheng The University of ManchesterUnited Kingdom |
Martin TorngrenTorngren, Martin KTH |
Elena TroubitsynaTroubitsyna, Elena KTH |
Haoze WuWu, Haoze Stanford UniversityUnited States |